AI Machine Learning Engineer - Personalization

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.

Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring.

Responsibilities

Architect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journeyBuild effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendationWork across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users

Qualifications

Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stackExperience in training DNN and Transformer architecture modelsExperience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideasUnderstands how to make tradeoffs in using different modelsSelf-motivated with a willingness to take ownership of tasksA passion for shipping quality products4+ years of industry experience

The cash compensation range for this role is $200,000 - $280,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equitymay be partof the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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Perplexity has an office-centric work model with 4 days per week in the office from the following locations: San Francisco, Palo Alto, or New York. Are you willing to come in 4 days per week? * Select...

If you are not based in any of these locations, are you open to relocation to either San Francisco, Palo Alto, or New York? * Select...

How do you use AI in your daily life and engineering work? *

Why do you think you will be a fit for Perplexity? *

Describe a project you worked on recently about Personalization / Deep Learning that you were most proud of? Tell us why.

In order to build the best personalization product like Pinterest, Instagram and X, what do you think is the most important thing to get it right?

If you want to build a recommender system from scratch, how do you plan to leverage LLM / Generative AI technologies to do it?

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Division Chief, Gynecologic and Gynecologic Specialties/Stanford Gynecology Service
Department of Obstetrics and Gynecology, Stanford University

The Department of Obstetrics and Gynecology at Stanford University seeks an exceptional physician leader for a full-time faculty position as Chief of the Division of Gynecology and Gynecologic Specialties, at the rank of Associate Professor or Professor in the University Medical Line (UML) or Clinician Educator Line (CE). The Division is seeking a leader for our dynamic team of over 30+ faculty members and 5 Advanced Practice Providers in 5 specialty sections. We are seeking a person who combines proven leadership skills in team building, program development and process improvement. The ideal candidate will have a record of outstanding academic accomplishment in gynecology or a gynecologic sub-specialty, possess advanced clinical and/or surgical skill sets, and be dedicated to excellence in clinical care, clinic operations, teaching, and/or research, and have the creative vision to help shape the future of a dynamic, growing, and progressive division. The Chief of Gynecology and Gynecologic Specialties will play a crucial role in representing the service line on the Stanford Health Care Ambulatory Leadership Team and will work closely with the Department Chair and leadership to strategically grow and enhance our services.

Stanford offers a wealth of academic opportunities, including basic, translational, and clinical research programs. Our division includes several specialized sections: Academic Specialists in Obstetrics and Gynecology, Complex Family Planning, Minimally Invasive Surgery, Pediatric and Adolescent Gynecology, and Urogynecology. We are committed to innovative programs, including the Menopause and Healthy Aging initiative and LGBTQ+ health services. Our division features pioneering services such as the Stanford Fibroid Center, a collaborative effort with Interventional Radiology, and the Pelvic Health Center, a comprehensive multidisciplinary program. We are a busy service line operating across two hospital systems, managing over 30,000 patient visits annually (with approximately one-third being new patients) and performing over 1,800 surgical cases. We also provide innovative medical education initiatives, including fellowships in Complex Family Planning, Urogynecology (in partnership with Urology), and Pediatric and Adolescent Gynecology.

The major criteria for appointment for faculty in the University Medical Line shall be excellence in the overall mix of clinical care, clinical teaching, scholarly activity that advances clinical medicine, and institutional service appropriate to the programmatic need the individual is expected to fulfill. The major criterion for appointment as Clinician Educators is excellence in the overall mix of clinical care, teaching, administrative and/or scholarship appropriate to the programmatic need the individual is expected to fulfill. Candidates should have an MD, DO or equivalent and be board certified in Obstetrics and Gynecology by the American Board of Obstetrics & Gynecology. Faculty rank and line will be determined by the qualifications and experience of the successful candidate.

Stanford is located in Silicon Valley, the heart of the Bay Area bioscience community, and is a friendly and collegial place to work. Opportunities for collaboration with the tech sector and for innovation abound. The surrounding communities of San Francisco and the greater Bay Area offer an unrivaled array of recreational and cultural venues with a temperate climate that allows for year-round enjoyment.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research, teaching and clinical missions.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact disability.access@stanford.edu .

The university's central functions of research and education depend on freedom of thought, and expression. The Department of Obstetrics and Gynecology, School of Medicine, and Stanford University value faculty who will help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and perspectives. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these values.

Salary Range:
The expected base pay range for this position is:
Associate Professor $ 317,000 - $335,000
Professor $362,000 – $386,000

This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits, including housing assistance, please contact the hiring department.

Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs.

Applications will be accepted beginning July 17, 2025, and will be continue until a finalist has been identified. Interested candidates should apply via: https://facultypositions.stanford.edu/en-us/job/494866/division-chief-gynecologic-and-gynecologic-specialtiesstanford-gynecology-service and include a copy of their curriculum vitae, a brief letter outlining their interests and names of three references.

Candidates may contact the Search Committee Chair, Dr. Yasser El-Sayed, c/o Cathy Seckel, cseckel@stanford.edu with any additional questions.





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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.

Perplexity is seeking an exceptional AI Research Tech Lead to drive our research strategy and lead the development of our in-house Online LLMs, the Sonar models. In this leadership role, you will set the macro research direction across different modalities, mentor a team of researchers, and take advantage of our rich query/answer dataset to continue scaling our Sonar model performance and deliver the SOTA Online LLM experience to our users.

ResponsibilitiesResearch Leadership & StrategyDefine and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiativesLead strategic research planning and roadmap development to advance Sonar model capabilitiesDrive innovation in supervised and reinforcement learning techniques for query answeringCollaborate with leadership to align research priorities with product and business objectivesCoach and mentor a team of AI research scientists and engineers, fostering their technical and professional growthEstablish the long-term macro research direction across the team, including our direction across different modalitiesLead hiring and onboarding of new research talentCreate a collaborative environment that encourages knowledge sharing and innovationTechnical ExcellencePost-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniquesOwn and optimize the full stack data, training, and evaluation pipelines required for LLM post-trainingDeliver Sonar models that provide SOTA query answering performanceDrive research into agent trajectories and multi-modal capabilitiesLead the technical roadmap for eventual mid-training investmentsCross-Functional CollaborationWork closely with engineering teams to integrate Sonar models into our productPartner with product teams to understand user needs and translate them into research prioritiesCollaborate with data teams to leverage our unique query/answer dataset effectivelyCommunicate research progress and findings to stakeholders across the organizationQualificationsRequiredMinimum of 5 years of experience working on relevant AI/ML projects with 3**+ years in a technical leadership role**Proven track record of leading and mentoring technical and research teamsA Computer Science graduate degree at a premier academic intitutionDeep expertise with large-scale LLMs and Deep Learning systemsStrong programming skills with versatility across multiple languages and frameworksDemonstrated ability to set technical vision and drive executionExperience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO)Self-starter with exceptional ownership mentality and ability to work in ambiguous environmentsPassion for solving challenging problems and pushing the boundaries of AI researchNice-to-havePhD in Machine Learning, Computer Science, or related areasExperience with agent-based AI systems and multi-modal model developmentBackground in mid-training or pre-training of large language modelsPublications in top-tier AI/ML conferencesExperience in fast-paced startup environmentsTrack record of translating research into production systems

Our cash compensation range for this role is $370,000 - $460,000.

Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equitymay be partof the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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Perplexity has an office-centric work model with 4 days per week in the office from San Francisco or Palo Alto. Are you willing to come in 4 days per week? * Select...

If you are not based in any of these locations, are you open to relocation to the San Francisco Bay Area? * Select...

What are you looking for in your next role? *

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#J-18808-Ljbffr Read Less

The best software comes from Augmenting developers, not replacing them. We’re bringing joy back to software engineering and keeping developers in flow by building the best Developer AI, with deep contextual awareness of a company’s codebase.

About the role

We’re looking for aDirector of Platform Engineering to lead our most foundational infrastructure teams — the technical backbone that powers everything we build.This is a critical leadership role for someone who can guide a growing team through high complexity, scale, and change — and who thrives at the intersection of platform depth and business impact.

What You’ll Bring

Experience managing manager-of-managers.

Proven ability to inspire, hire, coach, and retain senior engineering talent.

Skilled at scaling teams during periods of rapid growth and ambiguity.

Technical Track Record

Deep experience in cloud infrastructure at scale

Expertise in modern infrastructure architecture — microservices, event-driven systems, container orchestration, and observability best practices.

Familiarity with GCP is a plus, but not required.

Clear point of view on on-call processes, escalation hygiene, and balancing reliability with developer velocity.

Leadership

Operates well in ambiguous, fast-changing environments

Strong instincts around balancing long-term platform investments with short-term product demands.

Partners effectively with product, research, security, and GTM to align infrastructure priorities with business goals.

Known for clear thinking, strong execution, and building alignment through trust and communication.

Employee Benefits:Competitive salary & EquityTools StipendHealth, Dental, Vision and Life InsuranceShort Term and Long Term DisabilityUnlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chairNumerous company social events

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance withAugment Code's Applicant Privacy Policy .

Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations.

Annual Base Salary Range

$325,000 - $400,000 USD

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Perplexity is seeking an exceptional AI Research Tech Lead to drive our research strategy and lead the development of our in-house Online LLMs, the Sonar models. In this leadership role, you will set the macro research direction across different modalities, mentor a team of researchers, and take advantage of our rich query/answer dataset to continue scaling our Sonar model performance and deliver the SOTA Online LLM experience to our users.

ResponsibilitiesResearch Leadership & StrategyDefine and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiativesLead strategic research planning and roadmap development to advance Sonar model capabilitiesDrive innovation in supervised and reinforcement learning techniques for query answeringCollaborate with leadership to align research priorities with product and business objectivesTeam Development & MentorshipCoach and mentor a team of AI research scientists and engineers, fostering their technical and professional growthEstablish the long-term macro research direction across the team, including our direction across different modalitiesLead hiring and onboarding of new research talentCreate a collaborative environment that encourages knowledge sharing and innovationTechnical ExcellencePost-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniquesOwn and optimize the full stack data, training, and evaluation pipelines required for LLM post-trainingDeliver Sonar models that provide SOTA query answering performanceDrive research into agent trajectories and multi-modal capabilitiesLead the technical roadmap for eventual mid-training investmentsCross-Functional CollaborationWork closely with engineering teams to integrate Sonar models into our productPartner with product teams to understand user needs and translate them into research prioritiesCollaborate with data teams to leverage our unique query/answer dataset effectivelyCommunicate research progress and findings to stakeholders across the organizationQualificationsRequiredMinimum of 5 years of experience working on relevant AI/ML projects with 3**+ years in a technical leadership role**Proven track record of leading and mentoring technical and research teamsA Computer Science graduate degree at a premier academic intitutionDeep expertise with large-scale LLMs and Deep Learning systemsStrong programming skills with versatility across multiple languages and frameworksDemonstrated ability to set technical vision and drive executionExperience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO)Self-starter with exceptional ownership mentality and ability to work in ambiguous environmentsPassion for solving challenging problems and pushing the boundaries of AI researchNice-to-havePhD in Machine Learning, Computer Science, or related areasExperience with agent-based AI systems and multi-modal model developmentBackground in mid-training or pre-training of large language modelsPublications in top-tier AI/ML conferencesExperience in fast-paced startup environmentsTrack record of translating research into production systems

Compensation & Benefits

Our cash compensation range for this role is $370,000 - $460,000.

Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equitymay be partof the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

#J-18808-Ljbffr Read Less

About AiDASHAiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty. Learn more at www.aidash.comWe are a Series C climate tech startup backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500 recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.Join us in Securing Tomorrow!The RoleWe are looking for a Staff Machine Learning Engineer with deep expertise in aerial LiDAR processing and 3D computer vision. In this role, you will be responsible for designing advanced ML models - including custom CNN and Transformer architectures - for large-scale 3D point clouds and multi-modal remote sensing data.How you'll make an impact:Design, implement, and optimize deep learning models for aerial LiDAR data—using CNNs, Transformers, and hybrid architecturesBuild end-to-end pipelines for object detection, segmentation, and terrain modeling from geo-referenced point cloudsCombine aerial LiDAR with other data sources (e.g., RGB imagery, DSM/DTM, hyperspectral) using cross-modal transformers or fusion modelsImplement efficient 3D spatial reasoning using voxel grids, sparse tensors, and attention-based architecturesDrive experimentation, model benchmarking, and ablation studies to push accuracy and efficiency boundariesCollaborate with geospatial scientists and ML engineers to bring models to production via scalable APIs and cloud-native servicesApply MLOps practices to manage datasets, monitor model drift, and automate retraining workflowsWhat we're looking for:7+ years of experience in applied machine learning or computer vision, with 3+ years focused on LiDAR or 3D dataProven expertise in 3D deep learning (e.g., 3D CNNs, PointNet/PointNeXt, SparseConvNet, Minkowski Engine)Experience building and fine-tuning transformer architectures for spatial or remote sensing applications (e.g., Swin3D, PointTransformer, GeoTransformer)Strong coding skills in Python and deep learning libraries (PyTorch preferred)Familiarity with aerial LiDAR data characteristics, including waveform/point density, elevation modeling, and coordinate systems (EPSG, UTM, etc.)Hands-on experience with geospatial and point cloud libraries (PDAL, Open3D, PCL)Understanding of GPU optimization and deployment in production (CUDA, TensorRT, TorchScript)Master’s or PhD in Computer Science, Remote Sensing, Geomatics, or related fieldPreferred Qualifications:Experience with neural implicit models (e.g., NeRF, occupancy networks) for 3D scene modelingKnowledge of spatiotemporal modeling or change detection from periodic LiDAR collectionsPrior work with cloud-based pipelines (AWS SageMaker, GCP Vertex AI, or Azure ML)Contributions to open-source geospatial/ML tools or research publicationsWhat you'll love:Comprehensive Medical, Dental, and Vision Coverage: 100% coverage for employees and 80% for their spouses and childrenHealth Reimbursement Account (HRA): 100% funded by AiDASH to cover medical deductibles401(k) Plan: Begin contributing after three months of employment to prepare for your future. Currently, no company match is offeredParental Leave: Supportive parental leave with 16 weeks for primary caregivers and 4 weeks for secondary caregiversGenerous Vacation Policy: Accrue 20 vacation days per year, plus enjoy an additional flex holiday to celebrate whatever feels most important to you!Winter Break: From December 25th through January 2nd, we give everyone time off to recharge and enjoy time with family and friends!We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.We offer a competitive base pay range for this full-time position, which is between $190,000 and $230,000 per year. This range reflects the anticipated base salary for new hires. We strive to ensure our compensation packages are equitable and aligned with industry standards. Your recruiter can share more about compensation during the hiring process.We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs. #J-18808-Ljbffr Read Less

The best software comes from Augmenting developers, not replacing them. We’re bringing joy back to software engineering and keeping developers in flow by building the best Developer AI, with deep contextual awareness of a company’s codebase.

About the role

We're looking for aSenior Director of Product Engineering to lead ourProduct Engineering, Design, and Research functions — the teams closest to our users and most responsible for shaping the future of developer experience.

This is a critical leadership role driving end-to-end user experiences across our IDE agents, Slackbot, NextEdit, Flow Mode, and other user-facing surfaces. You’ll oversee a high-impact org that leads 0→1 product innovation, moves quickly to test ideas, and is constantly searching for product-market fit across new workflows.

The ideal candidate is deeply passionate about the AI for code space, excited to reimagine how software is built, and energized by working hands-on with AI tools to push the boundaries of what’s possible.

What You’ll Bring

Experience managing manager-of-managers, with multiple product engineering teams under them.

Proven ability to attract, coach, and retain product-minded ICs and tech leads.

Skilled at navigating uncertainty and helping teams turn ambiguous ideas into real, high-quality features.

Deep experience structuring teams and portfolios around learning loops and high-upside product bets.

Technical Track Record

Led engineering orgs through multiple 0→1 product cycles, ideally in devtools, productivity tools, or AI/ML-powered products.

Familiar with frontend/backend architecture and how product, design, and infrastructure interconnect at early stages.

Known for strong product judgment — understands when to double down and when to pivot.

Comfortable diving into quality, latency, UX polish, and product instrumentation to enable rapid iteration and learning.

Leadership

Skilled at identifying weak signals of PMF and turning them into focused iteration.

Balances intention with urgency — knows when to move fast and when to slow down and refine.

Operates effectively in high-change, experimental environments where direction is shaped through exploration.

A strong cross-functional partner to PMs, designers, researchers, GTM, and founders, aligning the org around the highest-leverage opportunities.

Employee Benefits:Competitive salary & EquityTools StipendHealth, Dental, Vision and Life InsuranceShort Term and Long Term DisabilityUnlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chairNumerous company social events

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance withAugment Code's Applicant Privacy Policy .

Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations.

Annual Base Salary Range

$325,000 - $400,000 USD

Create a Job Alert

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AI Machine Learning Engineer - Personalization

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.

Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring.

Responsibilities

Architect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journeyBuild effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendationWork across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users

Qualifications

Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stackExperience in training DNN and Transformer architecture modelsExperience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideasUnderstands how to make tradeoffs in using different modelsSelf-motivated with a willingness to take ownership of tasksA passion for shipping quality products4+ years of industry experience

The cash compensation range for this role is $200,000 - $280,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equitymay be partof the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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Job Title: Senior CAD Design Engineer

Pay rate: $61.58 /hr.

Location: Palo Alto, CA

Zip Code: 94304

Start Date: Right Away

Keywords: #PaloAltoJobs; #CADDesignEngineerjobs;

Job Description:

As a senior CAD Engineer, you will lead the design and engineering of CAD projects. The ideal candidate will have a degree in engineering or a related field and at least 2 years of experience in CAD design and engineering.

Responsibilities:Create detailed CAD drawings using SolidWorks, Catia, or Creo, and collaborate with engineers to develop innovative designs that meet project specifications.Use software tools such as SOLIDWORKS for modeling and visualization of designs.Assemble components and create accurate schematics for various systems.Engage in system design processes, ensuring all components fit together seamlessly.Write scripts using Perl, Python, Tcl, Cadence SKILL, and C++ (nice to have).Perform mechanical simulation (FEA) (nice to have).Qualifications:BS or MS in Mechanical Engineering or related fields.Experience in CAD drawings is a MUST.

If you are interested in this role, please apply via the 'apply now' link provided. Belcan is committed to providing quality staffing solutions to help people, organizations, and communities succeed. We offer opportunities for contract, temporary, temp-to-hire, and direct assignments. For more information, visit our website at Belcan.com.

EOE/F/M/D/V

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Join to apply for the Head of Revenue Accounting role at Hippocratic AI

Join to apply for the Head of Revenue Accounting role at Hippocratic AI

About Us

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.

About Us

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.

Why Join Our Team

Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.Strategic investors: Raised $137 million from top investors including General Catalyst, Andreessen Horowitz, Premji Invest, SV Angel, NVentures (Nvidia Venture Capital), and Greycroft.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.

For more information, visit www.HippocraticAI.com.

We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.

About The Role

As the Head of Revenue Accounting you will design, implement, and scale revenue operations processes and systems to support Hippocratic AI’s next growth stage. You will collaborate cross-departmentally with GTM, Legal, and BI Operations teams to drive end to end revenue management including deal desk, proper documentation of the contractual terms, sending and collecting invoices, revenue recognition, month end close for revenue accounts, revenue forecast, and GTM compensation process.

Responsibilities

Own all revenue and AR operation processes including:Onboarding on customer vendor portalsCollecting customer billing informationConsolidating and tracking contractual obligationsPreparing and sending invoicesLeading collection effortsRecognizing revenue by customer by serviceLead month end closing process for revenue and deferred revenue accountsOwn revenue forecast by customer and serviceDrive GTM compensation process and calculation on a monthly basisOwn sales tax registration and compliance across all jurisdictionsDraft revenue recognition memos and ensure adherence to GAAP standardsBuild strong working relationships with GTM, Legal, and BI Operations to align and improve workflowsBuild an industry leading billing and revenue operations department as the company scales

Qualifications

Must-Haves:

Qualified CPA8-10 years of experience in Revenue Operations and/or Account Receivable roles with large B2B SaaS companiesStrong knowledge of ASC 606 GAAP standardProficiency in enterprise-grade B2B billing, revenue recognition, and contract managementExperience managing sales tax compliance across jurisdictions on platforms like AvalaraAbility to create and execute SOPs for billing, revenue recognition, and collectionsStrong organizational and problem-solving skills with an ability to work autonomously

Nice-to-Haves:

Big4 or other public accounting experience preferredExperience drafting detailed revenue recognition memosExperience working with tools like HubSpot, Salesforce, Quickbooks, Netsuite, etcAgile mindset with the ability to adapt in a fast-paced, high-growth environment

Seniority levelSeniority levelDirectorEmployment typeEmployment typeFull-timeJob functionJob functionAccounting/Auditing and FinanceIndustriesHospitals and Health Care

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Job Description:

Perkins Coie LLP is seeking a talented individual for the position of Senior Director of Pricing and Profitability to lead our global pricing strategy and profitability initiatives. This pivotal leadership role will shape the way we deliver value to our clients and drive sustainable financial success across all practice groups and industries. Operating at the nexus of finance, business development, and client service, the Senior Director of Pricing and Profitability will champion the development of innovative pricing models, enhance profitability analytics, and provide critical support for strategic decision-making at the highest levels of the firm.

ESSENTIAL FUNCTIONS

These essential functions are primary job duties that incumbents must be able to perform unassisted or with some reasonable accommodation.

Global Pricing Strategy

Lead the development and implementation of strategic pricing frameworks, including alternative fee arrangements (AFAs) and blended rate strategies.Partner with regional and practice leadership to support client pitches, RFPs, and negotiations by delivering customized pricing solutions tailored to market conditions and client needs.Manage global pricing governance, including rate-setting policies and client rate approvals.

Profitability Analysis & Optimization

Build and enhance global profitability models to analyze financial performance at the client, matter, lawyer, and practice group levels.Identify margin improvement opportunities and develop strategies to optimize matter efficiency and resource allocation.Provide actionable insights to leadership on trends impacting firm and client profitability.

Leadership & Stakeholder Engagement

Serve as a trusted advisor to the executive committee, practice group leaders, and client relationship partners.Lead cross-functional collaboration with Finance, Legal Project Management, Business Development, and IT teams.Present findings and recommendations to management committees in a clear and compelling manner.

Team Management

Lead, mentor, and develop a high-performing pricing and profitability team distributed across key regions.Foster a culture of innovation, accountability, and client service excellence within the team.

Technology and Applications

Oversee the selection, implementation, and maintenance of pricing and financial modeling tools.Leverage data analytics platforms (e.g., Power BI, Tableau) to create dynamic dashboards and business intelligence reports.Ensure global data quality, consistency, and compliance with financial and regulatory standards.

SPECIFIC SKILLS REQUIRED

Proven track record in designing and negotiating sophisticated pricing solutions for multinational clients.In-depth knowledge of legal industry trends, billing methodologies, and the expectations of international clientele.Advanced analytical abilities and financial modeling expertise, including mastery of Excel and specialized pricing software.Strong leadership capabilities, with outstanding communication and persuasive skills adaptable to diverse cultures and organizational levels.Demonstrated success in leading change initiatives and fostering consensus within complex, matrixed global organizations.

EDUCATION, LICENSES, CERTIFICATIONS, AND EXPERIENCE

Four-year degree in Finance, Accounting, Economics, or Business; MBA, JD, CPA or equivalent advanced degree preferred.10-plus years of experience in law firm pricing, financial analysis, or professional services consulting, including five-plus years in a senior leadership role.

At Perkins Coie, we look for self-motivated individuals dedicated to providing value and superior service and who have a high degree of integrity and enthusiasm for their work. We have created a company culture based on collaboration, devotion to serving our clients, and mutual respect. Perkins Coie is committed to advancing diversity and inclusion both within the firm and throughout our collective communities. Work with one of the 100 Best Companies to Work For and receive great health insurance, tuition reimbursement, and paid sabbaticals.

This position is eligible for an annual discretionary bonus, 401(k) plan, medical, dental, and vision insurance, accrued paid time off plan starting at 20 days annually, personal medical and parental leave, up to 10 paid holidays, and family care benefits. More information regarding benefits and programs may be found here .

This position may be filled in the following location(s). The listed compensation range reflects the typical pay for this role, though it is rare for new hires to receive an offer at the top of the range. Actual compensation may vary depending on experience, skills, market conditions, and internal equity.

San Francisco Bay Area compensation range: $276,550 to $497,720 annually

Colorado compensation range: $216,670 to $389,950 annually

Illinois compensation range: $228,660 to $411,550 annually

Los Angeles compensation range: $252,320 to $454,120 annually

San Diego compensation range: $249,120 to $448,360 annually

New York compensation range: $251,410 to $452,470 annually

Washington state compensation range: $228,550 to $411,340 annually

Washington, D.C., compensation range: $246,830 to $444,250 annually

#LI-Hybrid

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Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring.

Responsibilities

Architect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journeyBuild effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendationWork across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users

Qualifications

Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stackExperience in training DNN and Transformer architecture modelsExperience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideasUnderstands how to make tradeoffs in using different modelsSelf-motivated with a willingness to take ownership of tasksA passion for shipping quality products4+ years of industry experience

The cash compensation range for this role is $200,000 - $280,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equitymay be partof the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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At Protegrity, we lead innovation by using AI and quantum-resistant cryptography to transform data protection across cloud-native, hybrid, on-premises, and open source environments. We leverage advanced cryptographic methods such as tokenization, format-preserving encryption, and quantum-resilient techniques to protect sensitive data. As a global leader in data security, our mission is to ensure that data isn’t just valuable but also usable, trusted, and safe.

Protegrity offers the opportunity to work at the intersection of innovation and collaboration, with the ability to make a meaningful impact on the industry while working alongside some of the brightest minds. Together, we are redefining how the world safeguards data, enabling organizations to thrive in a GenAI era where data is the ultimate currency. If you're ready to shape the future of data security, Protegrity is the place for you.

Protegrity is seeking a passionate and talented Senior Solutions Integration Architect to join our North America Field Delivery Team. If you enjoy being hands-on, solving integration puzzles, and guiding customers through successful deployments without managing people this role is designed for you.

Data Privacy is important to all of us. At Protegrity our products make this possible in rest, in motion and in view for some of the largest companies in the world. Protegrity puts our customers in the best possible position to choose how they want to protect their data and make it private. Thanks to the centralized management and transparency of our platform- a “single pane of glass”- teams can see where the data resides and what its purpose is. Unlike other data protection options, the Protegrity data Protection Platform clarifies the state of data so organizations can choose how to protect it and keep it private using the full range of methods from basic monitoring and dynamic data masking to highly secure vaultless tokenization.

Since our founding over 10 years ago, we are fully vested in helping clients protect their information. Whether encrypting, tokenizing, or applying privacy methods, our platform secures the data behind the many operational systems that drive the day-to-day functions of business, as well as the analytical systems behind decision-making, personalized customer experiences, and AI modeling. All of this propels businesses forward by fueling innovation and giving clients a competitive advantage over less savvy competitors. This is a once in a lifetime opportunity to be part of a global team with a product that the business marketplace must have in place in order to do business.

This job is for you if:

You’re someone who thrives at the intersection of architecture and implementation—comfortable designing integration patterns one moment and jumping into a working session with a client the next.

As a Senior Solutions Integration Architect, your day often begins by reviewing a customer’s environment and mapping out how Protegrity’s platform can be integrated to meet their data protection goals.

You’ll collaborate with Solution Engineers and Customer Success to translate business needs into technical blueprints, then roll up your sleeves to help bring those solutions to life.

You’ll frequently provide over-the-shoulder guidance to client implementation teams—whether it’s walking them through an ESA configuration, supporting a DSG deployment, or helping troubleshoot a Cloud API integration.

You’ll be a trusted technical partner during critical delivery milestones.

You’ll lead Q&A-style office hours, offer consultative support during installations, and ensure that best practices are followed across environments.

Responsibilities may include but not be limited to:

Design and implement integration patterns that align with enterprise architecture and customer-specific data protection goals.

Provide over-the-shoulder guidance to client implementation teams during software installs, configuration, and validation—especially in second-environment or multi-phase deployments.

Lead technical working sessions and Q&A-style office hours to support customer teams through ESA, DSG, and Protector installations, following packaged delivery milestones.

Collaborate with Solution Engineering, Customer Success, Product, and R&D to ensure solutions are technically sound, scalable, and aligned with customer expectations.

Translate business and technical requirements into actionable integration plans and architecture diagrams using tools like Visio, Draw.io, or PowerPoint.

Develop and document best practices, reusable templates, and repeatable delivery processes to improve consistency and efficiency across customer engagements.

Maintain deep knowledge of cloud-native technologies, integration approaches, and DevOps practices to inform solution design and delivery.

In addition to the qualifications a successful candidate will demonstrate:

Bachelor’s degree in a related field or equivalent experience.

8–12+ years of experience in enterprise architecture, solution architecture, integration engineering, or technical delivery roles.

Proven ability to work independently across multiple concurrent projects in a matrixed environment.

Hands-on experience with integration tools, APIs (RESTful/SOAP), and data platforms (ETL, RDBMS, data lakes, warehouses).

Strong understanding of CI/CD pipelines, containerization, and orchestration in cloud and hybrid environments.

Proficiency in SQL and at least two programming languages (preferably Python, Java and/or C#).

Ability to articulate technical concepts clearly to both technical and non-technical stakeholders.

Experience supporting customer teams through implementation milestones, including installation, configuration, and validation of Protegrity components.

Ability to travel up to 10% of the time, as needed.

Preferred Qualifications:

Experience delivering integration-heavy projects.

Familiarity with Protegrity’s packaged delivery model, including ESA, DSG, and Protector deployment milestones.

Knowledge of cybersecurity best practices, data privacy regulations, and secure software development lifecycle (SDLC).

Active CISSP or equivalent certification is a plus.

Why Choose Protegrity

Become a member of a leading Data Protection, Privacy and Security company during one of the best market opportunities to come along in a generation.

Competitive Compensation/Total Reward Packages that include:

Health Benefits (Health/Dental/Vision).

Paid Time Off (PTO).

401K.

Annual Bonus Incentives.

Short and Long Term Disability.

Work on global projects with diverse, energetic, team members who respect each other and celebrate differences.

Talent First Workforce.

Working Model:

This is a hybrid role and will require you to be in office 2-3 days a week. In certain circumstances the work model may change to accommodate business needs.

Should you accept this position, you must consent to and pass a Background Investigation, which includes (subject to country law), extended education, and additional criminal and civil checks.

We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development.

Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status.

Please reference Section 12: Supplemental Notice for Job Applicants in our Privacy Policyto inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Protegrity USA, Inc., or its parent company, subsidiaries or affiliates, and the purposes for which we use such personal information.

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Alternant(e) - Ingénieur SI (h/f) - Pilotage de la réalisationDate de publication : 20/05/2025Type de contrat : Alternance (23 mois)Département : Essonne (91)Ville : LES ULISInformations générales

Entreprise d'innovation et 2e opérateur Français, SFR révolutionne les usages grâce à son réseau puissant Fibre, 4G, 5G et ses expertises de pointe. SFR fait partie du groupe Altice France et accompagne quotidiennement près de 27 millions de clients.

Audacieux, engagés, agiles... Nous sommes près de 8 000 femmes et hommes en France, qui agissons dans un objectif commun : améliorer et accélérer le quotidien de nos clients grand public, entreprises, opérateurs, ou collectivités.

Nous voulons vivre l'aventure SFR avec vous : avancer, oser et progresser ensemble.Soyez vous.

Toutes nos offres d'emploi sont ouvertes aux personnes en situation de handicap.

Intitulé du poste
Alternant(e) - Ingénieur SI (h/f) - Pilotage de la réalisation

Description de la mission

le rôle est de concevoir, déployer et gérer les solutions informatiques de nos clients Entreprises (PME, ETI & Grands Comptes).

Vous intégrerez l'équipe chargée des déploiements pour l'Ile de France. Vous serez suivi(e) et accompagné(e) par un maître d'apprentissage tout au long de votre cursus et bénéficierez d'un plan d'accompagnement vous permettant de développer tout votre potentiel!

Vos missions seront les suivantes :

Assurer les prestations techniques de déploiement des architectures et solutions proposées,Travailler en mode projet au sein d'équipe d'experts aux multiples compétences afin de répondre aux choix technologiques de nos clients,Réaliser l'étude technique détaillée et assurer l'intégration des matériels et/ou logiciels associés,Réaliser le design des architectures et centraliser les points techniques des différentes technologies d'un même dossier,Rédiger les documents techniques sur le projet (Documents Technique de Conception, de Tests et Recette, de Procédures de Migration, de Procédures d'Exploitation, de Comptes-Rendus d'opération etc.),Assurer la réalisation des maquettes ou de pilotes et coordonner le déploiement des matériels sur site,Mener les opérations techniques relatives à la mise en service et/ou à la migration et du déploiement de solutions de sécurisation d'infrastructure vendues par SFR sur ses comptes en Heures Ouvrées et Non Ouvrées,Assurer le transfert de compétences vers les équipes techniques du client.

SFR Business travaille en partenariat avec les principaux éditeurs du marché : Cisco, Fortinet, Palo Alto, HPE, Check Point, F5, ainsi que d'autres acteurs plus spécialisés sur certains domaines précis.

Les principaux domaines techniques sur lesquels vous serez formé(e) et sur lesquels vous interviendrez sont entre autres :

Le réseau LAN/WAN/NAC : Cisco, Aruba, HuaweiLa Répartition de charge : F5Les Proxy/Reverse : McAfee, Websence, Cisco

En formation de type Cycle Ingénieur ou équivalent, orientée Télécoms/Réseaux/Sécurité, vous recherchez une alternance jusqu'à 36 mois.

Vous possédez des connaissances de base en réseaux et sécurités informatiques et êtes curieux de ces environnements.Vous disposez d'un niveau d'Anglais suffisant (oral et écrit) pour comprendre les documentations techniques et échanger sur les problématiques techniques avec les interlocuteurs.Vous êtes rigoureux (se), autonome, ouvert(e) au travail en équipe, et vous avez le sens du service client.Vous êtes doté(e) d'un fort esprit d'initiative et d'un bon relationnel.Vous êtes capable d'organiser votre travail et de piloter des intervenants techniques en relai du Chef de Projet.

Vous souhaitez booster vos compétences et avez le goût du challenge ? Vous voulez intégrer un cadre de travail dynamique et épanouissant ? Rejoignez-nous!

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Company Description

At Lucile Packard Children’s Hospital Stanford, we know world-renowned care begins with world-class caring. That's why we combine advanced technologies and breakthrough discoveries with family-centered care. It's why we provide our caregivers with continuing education and state-of-the-art facilities, like the newly remodeled Lucile Packard Children's Hospital Stanford. And it's why we need caring, committed people on our team - like you. Join us on our mission to heal humanity, one child and family at a time.

Job ID:LP_00027191-19855

Job Description

JOB SUMMARY

This paragraph summarizes the general nature, level and purpose of the job.

The Director of Treasury is responsible for all aspects of the treasury function, including: daily liquidity management, cash forecasting, investment manager oversight, debt program surveillance and interfacing with credit ratings agencies. Develops and implements policies to optimize the organization's financial position and ensures compliance with regulatory requirements.

ESSENTIAL FUNCTIONS

The essential functions listed are typical examples of work performed by positions in this job classification. They are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Employees may also perform other duties as assigned.

Employees must abide by all Joint Commission Requirements including but not limited to sensitivity to cultural diversity, patient care, patient rights and ethical treatment, safety and security of physical environments, emergency management, teamwork, respect for others, participation in ongoing education and training, communication and adherence to safety and quality programs, sustaining compliance with National Patient Safety Goals, and licensure and health screenings.

Must perform all duties and responsibilities in accordance with the hospital's policies and procedures, including its Service Standards and its Code of Conduct.

Cash Management: Monitors daily cash flow, ensuring liquidity and optimizing the use of cash resources. Develops and maintains cash flow forecasting models.Banking: Manages relationships and fees with banks and financial institutions. Negotiates and administers merchant services agreements.Debt: Oversees debt issuance, compliance with debt covenants, and facilitates the annual review process with credit rating agencies. Negotiates credit lines and other financing arrangements.Risk Management: Develops and implements strategies to mitigate financial risks, including currency, interest rate, and liquidity risks. Oversee hedging activities and manage exposure to market volatility.Investment Management: Formulates and executes investment strategies for the company's surplus funds. Evaluates and monitors investment performance and ensure alignment with corporate objectives.Treasury Operations: Ensures efficient treasury operations, including the management of bank accounts, payments, and collections. Implement and maintain treasury management systems.Compliance and Reporting: Ensures compliance with regulatory requirements and internal policies. Prepare and present treasury reports to senior management and the board of directors.Strategic Planning: Collaborates with senior leaders to develop and execute long-term financial strategies. Provide insights and recommendations on financial planning and corporate finance initiatives.Team Leadership: Leads and develops the treasury team, fostering a culture of excellence, continuous improvement, and professional growth.

Qualifications

MINIMUM QUALIFICATIONS

Any combination of education and experience that would likely provide the required knowledge, skills and abilities as well as possession of any required licenses or certifications is qualifying.

Education:Bachelor's degree in Business Administration, Finance, Economics or Accounting from an accredited college or university.

Experience:Seven (7) years of progressively responsible and directly related work experience.

License/Certification:Certified Treasury Professional (CTP) or Certified Financial Analyst (CFA), preferred.

KNOWLEDGE

These are the observable and measurable attributes and skills required to perform successfully the essential functions of the job and are generally demonstrated through qualifying experience, education or licensure/certification.

Ability to communicate complex financial concepts to non-finance users to understand the appropriate use and limits of the information provided.Ability to develop short term and long term strategic growth financial planning.Ability to foster effective working relationships and build consensus.Ability to make effective oral presentations and prepare concise written reports to a variety of audiences.Ability to direct, organize, prioritize, multi-task and adapt to changing priorities.Ability to mediate and resolve complex problems and issues.Ability to provide leadership and influence others.Knowledge of decision support systems, database and other software tools.Knowledge of finance concepts such as cost accounting, strategic budgeting, and financial statements.Knowledge of local, state and federal regulatory requirement related to the functional area.Knowledge of principles and practices of organization, administration, fiscal and personnel management.Ability to adapt to changes in the environment on a personal and workload basis.Ability to establish controls which monitor costs and expenses as well as the ability to manage those costs and expenses in relation to budgeted amounts.

PHYSICAL REQUIREMENTS

The Physical Requirements and Working Conditions in which the job is typically performed are available from the Occupational Health Department. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job.

Additional Information

Pay Range
Compensation is based on the level and requirements of the role.
Salary within our ranges may also be determined by your education, experience, knowledge, skills, location, and abilities, as required by the role, as well as internal equity and alignment with market data.
Typically, new team members join at the minimum to mid salary range.
Minimum to Midpoint Range (Hourly): $85.32 to $116.67

Stanford Medicine Children's Health (SMCH) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SMCH does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements, and where applicable, in compliance with the San Francisco Fair Chance Ordinance.

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About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

Within the Ads delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. As a Manager, you will lead a talented team of machine learning engineers, collaborating closely with product managers, data scientists, designers, and engineers across the company to deliver impactful, pinner-facing ad products end-to-end.

What you'll do:

Define and drive the strategy and roadmap for our vertical ads products, shaping the future of ad experiences on Pinterest.
Lead your team in building scalable product onboarding systems, applying state-of-art machine learning techniques to enhance ads product triggering, ranking, and selection, and driving value via the ads marketplace systems for bidding, budgeting, ad ranking, tuning, pricing, ad allocation and placement.
Collaborate with product managers, data scientists, designers and engineers across the company to deliver pinner facing ads products end-to-end.
Mentor and develop machine learning engineers at all levels, setting clear technical vision, guiding daily execution, and fostering a strong, healthy team culture.
Establish and uphold high standards for code quality, system design, and operational excellence within your team.

What we're looking for:

MS or PhD degree in Computer Science, Machine Learning or related field.
6+ years of industry experience.
1+ years of management experience.
Hands-on experience with model offline development and online serving.
Hands-on experience with large-scale online e-commerce systems is preferred.
Full ads funnel knowledge that's from bidding and budgeting systems all the way to ads retrieval and allocation is preferred.
Strong software engineering, mathematical and analytical skills.
Exceptional strategic thinking, communication, and collaboration skills.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$208,145—$364,254 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

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Responsibilities:

Develop, test, and maintain web applications using Java and Spring Framework (Spring MVC).Design and implement RESTful APIs, ensuring optimal performance and scalability.Implement containerized solutions using Docker for seamless deployment and environment consistency.Leverage AWS technologies (e. g., ECS, S3 Lambda, DynamoDB) to build cloud-based solutions.Collaborate with cross-functional teams to gather and refine requirements.Design, develop, and maintain automated test scripts using tools like JUnit, Cucumber (BDD Framework), or similar.Perform end-to-end testing, including functional, regression, integration, and performance testing.Identify, report, and track bugs to closure, ensuring high-quality code and application stability.Collaborate with other Team members to implement test-driven development (TDD) practices.Ensure effective CI/CD testing workflows, integrating with version control systems like Git and pipeline tools like Jenkins CI.

Requirements:

Proven experience: 5-8 years of hands-on experience in Java development.Strong knowledge of Spring Framework and Spring MVC.Proficiency in containerization tools like Docker.AWS expertise: Hands-on experience with core AWS services (e. g., ECS, S3 DynamoDB, Lambda).Experience in testing frameworks like JUnit, TestNG, and Cucumber (BDD).Strong understanding of RESTful API design and microservices architecture.Familiarity with build tools like Maven.Familiarity with Agile methodologies, TDD, and CI/CD pipelines.Strong analytical and debugging skills.Familiarity with Large Language Models (LLMs) and AI-powered coding/testing tools (e. g., GitHub Copilot).Experience with Terraform.Exposure to front-end technologies like Angular, React is a plus.Knowledge of SQL and NoSQL databases. #J-18808-Ljbffr Read Less

About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

About the Role

Join AQMed to revolutionize heart health using AI and advanced sensing for next-gen medical diagnostics. You will represent the users’ voice and drive product thought leadership on our Data Science/ Machine Learning (DS/ML) team. In close collaboration with the Head of Product and Research Lead, you will be responsible for building the right product. You excel in project execution, and you drive the development and delivery of data products that solve real-world user problems. You deliver functional, useful, market-driven products on time. The success indicators for this role include product adoption, user satisfaction, regulatory & quality success, time-to-market, and business impact.

What You’ll DoWork closely with the Head of Product to define the vision, strategy, and roadmap for data products that align with business objectives, incorporating ML capabilities where valuable. Establish team-level OKRs, oversee timelines and budgets, and drive the end-to-end lifecycle of data products to ensure successful delivery and impact.Put our users first by leading a team that works closely with clinical partners. Through rapid prototyping and iterative development, turn clinical insights, user needs, and business goals into clear product requirements. Prioritize features by balancing business impact, user feedback, and technical feasibility to drive meaningful outcomes.Work closely with DS/ML Research to leverage cutting-edge techniques that align with product requirements. Together, the DS/ML Product and Research teams will develop and deliver impactful data products.Collaborate closely with cross-functional teams (product, hardware, platform, clinical, regulatory) to align data products with project plans.Be a confident representative of AQMed internally within SandboxAQ and externally (for example with clinicians, development partners, regulators, industry partners… etc).Ensure the scalability, usability, and impact of ML models in production environments.Lead & mentor a multidisciplinary team of data scientists and ML engineers.Foster a collaborative and innovative work environment, driving professional growth and excellence.About You10+ years in engineering and product leadership roles: You have served as an individual contributor in an engineering role. You have been an engineering manager. You excel as a leader at the intersection of Product Development & AI/ML.Advanced degree in engineering, computer science, AI, mathematics or related fieldStrong experience in AI-enabled data/ software medical product development from concept development (stage 0-3) through commercialization (stage 4+)You effectively communicate at the executive level, ensuring decisions are clearly linked to business objectives and routed to appropriate stakeholders for efficient action.Action-oriented: you proactively create solutions, knowing that a delay in our product launch means a delay in impacting patient care.Proficient in the FDA regulatory process of AI-driven medical softwareYou are willing and able to work from our Palo Alto location 50% of the time (hybrid).Nice to HavesCardiovascular device/cardiology experience and familiarity/expertise in the electrophysiology of the heart.

The US base salary range for this full-time position is expected to be $204k-$286k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.

SandboxAQ welcomes all.We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology.We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more.Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. #J-18808-Ljbffr Read Less

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We’re looking for a Machine Learning Engineer to join Snap Inc!

What you’ll do:

Create models which help drive value for users, advertisers, and our company

Evaluate the technical tradeoffs of every decision

Perform code reviews and ensure exceptional code quality

Build robust, lasting, and scalable products Iterate quickly without compromising quality

Knowledge, Skills & Abilities:

Strong understanding of machine learning approaches and algorithms

Able to prioritize duties and work well on your own

Ability to work with both internal and external partners

Skilled at solving open ambiguous problems

Strong collaboration and mentorship skills

Minimum Qualifications:

Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience

3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field

Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning

Preferred Qualifications:

Advanced degree in computer science or related field

Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks

Experience working with machine learning, ranking infrastructures, and system design

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $173,000-$259,000 annually.

Zone B:

The base salary range for this position is $164,000-$246,000 annually.

Zone C:

The base salary range for this position is $147,000-$220,000 annually.

This position is eligible for equity in the form of RSUs.

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Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We’re looking for a Machine Learning Engineer to join Snap Inc!

What you’ll do:

Create models which help drive value for users, advertisers, and our company

Evaluate the technical tradeoffs of every decision

Perform code reviews and ensure exceptional code quality

Build robust, lasting, and scalable products Iterate quickly without compromising quality

Knowledge, Skills & Abilities:

Strong understanding of machine learning approaches and algorithms

Able to prioritize duties and work well on your own

Ability to work with both internal and external partners

Skilled at solving open ambiguous problems

Strong collaboration and mentorship skills

Minimum Qualifications:

Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience

5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience

Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning

Preferred Qualifications:

Advanced degree in computer science or related field

Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks

Experience working with machine learning, ranking infrastructures, and system design

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $209,000-$313,000 annually.

Zone B:

The base salary range for this position is $199,000-$297,000 annually.

Zone C:

The base salary range for this position is $178,000-$266,000 annually.

This position is eligible for equity in the form of RSUs.

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