About the Team
The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them—against the unique risks introduced by agentic AI.
About the Role
As a Security Engineer on the Agent Security Team, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale.
We are looking for a versatile engineer who thrives in ambiguity and can make meaningful contributions from day one. You should be prepared to ship solutions quickly while maintaining a high standard of quality and security.
We’re looking for people who can drive innovative solutions that will set the industry standard for agent security. You will need to bring your expertise in securing complex systems and designing robust isolation strategies for emerging AI technologies, all while being mindful of usability. You will communicate effectively across various teams and functions, ensuring your solutions are scalable and robust while working collaboratively in an innovative environment. In this fast-paced setting, you will have the opportunity to solve complex security challenges, influence OpenAI’s security strategy, and play a pivotal role in advancing the safe and responsible deployment of agentic AI systems.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
You’ll be responsible for:
Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack.
Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale.
Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability.
Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI.
We’re looking for someone with:
Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services.
Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods.
Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines.
Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus.
Bias for action & ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one.
Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices.
Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable).
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
#J-18808-Ljbffr Read LessThe Tax Team at OpenAI is part of the broader Finance organization and plays a critical role in ensuring compliance with evolving global tax obligations. Our mission is to develop scalable, automated, and accurate tax infrastructure that supports OpenAI’s operational speed, transparency, and global growth. We are transforming tax operations from a traditional, manual process into a forward-looking capability that leverages intelligent systems and integrated workflows.
About the RoleThe Senior Director, Indirect Tax will be a critical leader within the tax function of OpenAI, responsible for all aspects of domestic and international indirect taxes. This role requires a strategic thinker with deep tax expertise, strong leadership skills, and the ability to navigate a dynamic and complex regulatory landscape.
This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role you'll:
Strategy and Planning:
Develop and implement indirect tax strategies to optimize tax efficiency and minimize risk across all lines of business, including new products and services.
Advise on tax implications of strategic initiatives like mergers, acquisitions, and new legal entity structures.
Stay abreast of changes in global tax laws and regulations, anticipating impacts and adapting strategies proactively.
Compliance and Reporting:
Oversee the accuracy and timely filing of all indirect tax returns (sales and use tax, VAT, GST, excise taxes, property taxes, etc.) across multiple jurisdictions.
Ensure compliance with tax regulations, collaborating with internal teams (finance, accounting, legal, product, engineering) to embed tax compliance into business systems and processes.
Manage tax audit defense strategies and represent the company during examinations by tax authorities. Must have extensive global audit experience with a fine sense of the types of arguments, legal strategies and inquiry and critical factual developments that can lead to optimal outcome.
Complete understanding of audit procedures for indirect tax matters.
Tax Technology and Automation:
Drive the adoption and optimization of tax technology solutions, including tax engines (like Vertex or OneSource), ERP systems (SAP, Oracle, familiarity with Netsuite would be a bonus), data tools (Alteryx, Power BI), and automation technologies (RPA).
Familiarity with GPTs and other AI tools as means to enhance efficiencies and productivity.
Lead initiatives to improve data quality, enhance tax processes, and leverage technology for efficient tax compliance and reporting.
Team Leadership and Development:
Mentor, develop, and manage a team of tax professionals, fostering a collaborative and high-performing environment.
Provide ongoing feedback, identify opportunities for growth, and guide team members in navigating complex tax issues.
Stakeholder Management:
Build and maintain strong relationships with internal partners (executive management, financial reporting, accounting, treasury, legal, HR, and business operations) and external advisors (tax consultants, auditors).
Effectively communicate tax implications and strategies to various audiences, including senior leadership.
You might thrive in this role if you:
Extensive experience in SaaS, PaaS, B2C indirect tax.
Bachelor's degree in Accounting, Finance, or a related field; a Master's degree in Taxation, Accounting, or a related field is a plus.
CPA certification or equivalent.
Law Degree is a bonus or an alternative to a CPA certification.
20+ years of progressive experience in indirect tax, with a focus on a tech or e-commerce environment.
Proven expertise in US and international indirect tax regulations (sales and use tax, VAT, GST, excise taxes).
Experience with tax technology platforms (Vertex, OneSource, etc.) and ERP systems (SAP, Oracle).
Strong analytical, problem-solving, and project management skills.
Excellent communication, interpersonal, and leadership skills, with a track record of building and developing teams.
Excellent people development skills.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
#J-18808-Ljbffr Read LessWho are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Engineering Program Manager, NorthPosition OverviewWe're seeking an Engineering Program Manager to strengthen our North operations and drive execution excellence across our product portfolio. This role will work closely with engineering, product, and cross-functional teams to ensure seamless project lifecycle management and operational efficiency.
About North:
North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
Establish and scale foundational processes that allow North's teams to execute better and faster across our growing platform
Partner directly with North leadership and Members of Technical Staff on efforts to design, develop and improve North's core capabilities and research bets
Run cross-functional programs, collaborating and coordinating with Product, Engineering, Design, and Customer Success teams on delivering features on time and within scope, establishing feedback loops, and optimize resource distribution across competing priorities
Map out dependencies and risks across the North ecosystem, ensuring smooth cross-functional execution while communicating status to both technical and non-technical stakeholders
Troubleshoot cross-team challenges and build dependable partnerships both within and outside the North organization
Constantly seek to improve communication flow of priorities, ideas, and progress throughout all layers of the organization
Manage project tracking tools, Linear triage, team workflows, and facilitate cross-functional planning sessions
Respond quickly to program-level changes, clarifying new scope and marshaling resources in response to evolving customer and market priorities
Have 3+ years as an Engineering Program Manager or Technical Program Manager, with demonstrated experience in startup or high-growth environments
Have a resourceful, can-do attitude and thrive in ambiguous, fast-paced environments where you can wear multiple hats and do whatever it takes to get things done
Are comfortable with low structure, high impact situations where you can roll up your sleeves, be pragmatic, and function at both tactical and strategic levels to drive results, with proven ability to build processes, teams, or programs from scratch
Have strong bias for action and can move quickly from problem identification to solution implementation
Have experience with project management tools (Linear, Jira, etc.) and can effectively manage workflows and processes
Have excellent communication skills for interfacing with both technical teams and business stakeholders across all levels of the organization
(Preferred) Have experience with AI/ML products or technical platforms
This role offers the opportunity to build foundational program management skills while directly impacting product delivery and team efficiency across our growing North operations.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
️ 6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.
#J-18808-Ljbffr Read LessAbout the Team
OAI is seeking a Global Supply Manager (GSM) to assist with strategic planning, long term deal structuring and negotiations. This position works with procurement, engineering, finance and legal teams as well as suppliers. Position high executive function in quantitative and analytical skills, critical thinking, and the ability to manage multiple projects and deadlines simultaneously.
About the Role
The Global Supply Manager is positioned at the interface between OAI product teams and the industries that supply core technologies. We are responsible for developing and executing sourcing strategies as well as recommending product innovations based on improving technology. The position requires excelling in market dynamics, negotiation and pricing, manufacturing processes, and risk mitigation. The Global Supply Management team also drives long term strategic deals.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
#J-18808-Ljbffr Read LessAbout Scale
At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.
About This Role
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
Ideally, you’d have:
Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.
A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).
At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.
Strong written and verbal communication skills, along with the ability to work effectively across teams.
Nice to have:
Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.
Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.
Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.
Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.
Proficiency in cloud-based ML development, with experience in AWS or GCP environments.
Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments.
#J-18808-Ljbffr Read LessAbout this role
Every company grows differently, and we grow when we help our users write better, faster.
As a Strategic solutions architect, your objective will be to support our prospects in identifying, evaluating and validating ways in which Writer can make a meaningful impact to their business and the content they create. This is not just a consulting role, you’ll be spending a lot of time building and running proof of concepts for prospects. You'll be working with some of our largest prospecting customers to grow their usage of Generative AI and will be deeply embedded into our customers and prospects.
While reporting under the customer success organization, you will primarily serve the Sales team as their prospects evaluate Writer. You will provide technical expertise to uncover and validate use-cases, while also building proof of concept projects to validate Writer’s ability to meet a customer’s needs.
Your positivity, sense of curiosity, and ability to create champions from early adopters in the AI writing space will help shape our entire culture. If you have a builder mentality, this is the role for you. You'll be reporting to our head of solutions architect.
????️ Your responsibilities:
Partner with our account executives and prospects in use-case validation calls as the technical expert to uncover how they can leverage solutions including, custom templates, Knowledge Graph and our APIs.
Scope prospect’s business and technical needs, including tools, workflows, data structure, and integration points to ensure Writer can feasibly execute against
Conduct discovery on existing processes, identifying and quantifying current business pain and proposed impact of Writer’s solutions to address
Build custom templates for customers, lead feedback reviews of the templates, and then conduct additional fine-tuning to meet customer criteria
Lead proof-of-concept pilots of Writer by building solutions to validate technical requirements
Act as the technical lead for RFP responses and evaluations
Work hand-in-hand with prospects to explain the value of our APIs, while helping them evaluate and test use-cases with them
Develop and maintain a deep understanding of the Writer solutions, the broader AI and LLM landscape, as well as our customer’s ecosystem so you can offer prescriptive solution recommendations
Work alongside product and engineering to QA the outputs from the implementation, calibrate, and iterate until we have an optimal output
Act as a resource and technical liaison for our Partner ecosystem, ensuring they understand the capabilities and use-cases possible via our APIs and custom apps
Familiar with financial services companies (investment banking, banks)
️ Is this you?
5+ years of experience in technical customer-facing roles such as Solutions Architect or Sales Engineer
Have worked with Fortune 500 customers for a high growth, B2B SaaS company
Experience with generative AI and prompt engineering is a huge plus
Python skills so that you can easily build on top of Writer Framework
Experience working with APIs, especially Generative AI services
An excellent communicator and collaborator, able to take complex technical concepts and translate to practical business language for non-technical audiences
Highly versatile, can lead a discovery session with multiple stakeholders, uncovering use cases and business pain, while also being able to have the technical acumen to address complex technical hurdles
Customer outcome oriented: a laser focus on delivering solutions that create meaningful business results
Tenured problem solver, able to identify the root cause of issues and work collaboratively to resolve
Experience working across many customer stakeholders and teams
Previously been a top-performing SA and have sold 1M+ deals in highly regulated spaces
Benefits & perks (US Full-time employees)
Generous PTO, plus company holidays
Medical, dental, and vision coverage for you and your family
Paid parental leave for all parents (12 weeks)
Fertility and family planning support
Early-detection cancer testing through Galleri
Flexible spending account and dependent FSA options
Health savings account for eligible plans with company contribution
Annual work-life stipends for:
Home office setup, cell phone, internet
Wellness stipend for gym, massage/chiropractor, personal training, etc.
Learning and development stipend
Company-wide off-sites and team off-sites
Competitive compensation, company stock options and 401k
Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
By submitting your application on the application page, you acknowledge and agree to Writer's Global Candidate Privacy Notice.
#J-18808-Ljbffr Read LessAbout the Role
OpenAI seeks a Machine Learning Engineer to build multimodal ML systems that deliver secure, low‑friction user authentication and intelligent device perception. You will work at the intersection of modeling and systems engineering, architecting data pipelines and defining durable feature interfaces for video, audio, and future signals. You will build perception and decision pipelines and harden everything for deployment in real‑world environments.
Key Responsibilities
Develop multimodal authentication and identity‑confidence models across video and audio, with room to incorporate additional signals as they become available. Drive robustness across diverse conditions.
Architect data systems and scalable data‑augmentation and simulation pipelines that expand edge‑case coverage and increase model value.
Build and tune production inference and decision stacks, and use telemetry to improve reliability in the field.
Develop failure‑analysis systems that detect drift, false accepts and false rejects, and calibration issues, enabling rapid iteration loops.
Partner closely with hardware, firmware, and research teams to integrate sensors, shape model design, and take systems to production.
Ideal Candidate
Has shipped ML systems in production where reliability mattered (e.g., safety, access control, payments).
Brings experience with authentication, biometrics, or access‑control machine learning.
Strong background in computer vision, audio ML, and multimodal fusion.
Proficient in C++ and Python with deep PyTorch experience, strong systems debugging skills, and a security‑aware mindset.
Bonus
Built scalable failure‑analysis and model‑transparency tooling (evaluation harnesses, telemetry analytics, interpretability workflows).
Background optimizing ML for real‑time or low‑latency environments.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
#J-18808-Ljbffr Read LessWaymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
As a member of the Real Estate team, you secure and build places that support Waymonaut’s environment and productivity. You deliver world class, cost-effective workplaces to Waymonauts that prioritize well-being, while inspiring Waymonauts to do their best work.
This role reports to our Senior Director of Global Places and Services and is based out of the San Francisco Bay Area,
You Will
About Scale:
Scale’s Generative AI ML team develops models and services to power high-quality data generation and evaluation for the most advanced large language models on earth. We also conduct applied research on model supervision and algorithmic approaches that support frontier models for Scale’s applied-ML teams and the broader AI community. Scale is uniquely positioned at the center of the AI ecosystem as a leading provider of training and evaluation data, end-to-end ML lifecycle solutions, and frontier evaluations for public and private institutions.
About The Role:
This role focuses on developing ML systems to automate data quality evaluation and generation using large language models. You’ll build scalable systems to assess quality across accuracy, instruction adherence, factuality, and reasoning — and design robust evaluation frameworks to ensure alignment with human standards. This is one of the highest impact areas in the company and directly accelerates the development of aligned, performant foundation models.
You’ll be deeply involved in the full lifecycle: from model design and fine-tuning, to prototyping, deployment, and monitoring. You’ll partner closely with engineering, research, and product teams to deliver cutting-edge solutions for both customers and internal GenAI data engines — Scale’s fastest-growing business.
If you’re excited about combining human-machine evaluation, scaling high-quality training data, and shaping the next generation of foundation models, we’d love to hear from you.
You will:
Design, fine-tune, and evaluate large language models for structured quality evaluation and data generation tasksDevelop robust evaluation frameworks to assess performance across accuracy, instruction following, reasoning, and other critical dimensionsBuild and maintain scalable ML services to automatically assess and generate high-quality training and evaluation dataResearch and apply state-of-the-art techniques in LLM training, post-training alignment (e.g., instruction tuning, RLHF), and tool-augmented reasoningCollaborate with research scientists, engineers, and product teams to integrate your work into production services used by top AI developersIdeally you’d have:
3+ years of experience designing, training, and deploying ML models in production environmentsStrong background in NLP, LLMs, and deep learning frameworks like PyTorch, TensorFlow, or JAXExperience building microservices and deploying ML pipelines in cloud environments (e.g., AWS or GCP)Practical knowledge of LLM fine-tuning and evaluation for tasks like factuality, instruction adherence, and chain-of-thought reasoningStrong programming skills (e.g., Python) and a solid foundation in algorithms and data structuresStrong communication skills and experience working cross-functionallyNice to haves:
Experience with post-training LLM techniques (instruction tuning, RLHF, tool use, or agent-based reasoning)Familiarity with data evaluation pipelines, dataset curation, or scalable annotation workflowsBackground in multimodal ML or model evaluation across domains such as code or long-context generation #J-18808-Ljbffr Read Less