LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology. We are looking for Artificial Intelligence interns to work on our massive semi-structured text, graph and user activity data sets. This internship will focus on various NLP or LLM concepts to help LinkedIn to become a more intuitive product. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. This is a unique opportunity to apply your research expertise to real-world problems, collaborate with industry-leading AI/ML engineers, and build solutions that impact millions of users. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2025 or later. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. Our internship roles will be based in Mountain View, CA; or other US office locations. Our internships are 12 weeks in length and will have the option of two intern sessions: • May 27th, 2025 - August 15th, 2025 • June 16th, 2025 - September 5th, 2025 Responsibilities: • Work with large data sets, crunching millions of samples for statistical modeling, data mining, recommendation solutions • Research and develop innovative NLP models, with a focus on LLMs, to solve problems related to information retrieval, text classification, machine translation, and question answering. • Design and implement scalable, production-level algorithms for natural language understanding and generation. • Collaborate with cross-functional teams to integrate NLP/LLM solutions into LinkedIn’s platform, enhancing user experience and recommendation systems. • Design Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy • Select appropriate annotated datasets for Supervised Learning methods • Use effective text representations to transform natural language into useful features Basic Qualifications: • Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship • Knowledge of core computer science concepts such as object-oriented design, algorithm design, data structures, problem-solving, and complexity analysis • Research experience in NLP, LLMs, or related areas. • Experience in Python and popular deep learning frameworks such as TensorFlow, PyTorch, or JAX. • Experience working with transformer models (e.g., BERT, GPT, T5) and understanding of attention mechanisms, transfer learning, and fine-tuning LLMs. Preferred Qualifications: • Experience with large-scale pretraining and fine-tuning of LLMs on diverse NLP tasks. • Hands-on experience deploying NLP models in production environments. • Experience with reinforcement learning, self-supervised learning, and few-shot learning in NLP applications • Practical knowledge with deep learning and machine learning algorithms and the use of popular AI/ML frameworks • Published work in academic conferences or industry circles • Involvement in consumer-facing product development and design • Experience with command of algorithms and data structures • Understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms • Expertise in clustering, collaborative filtering, and classification techniques (Naïve Bayes, SVM, NN, Boosting Methods, etc.) • Excellent communication skills Suggested Skills: • Machine Learning and Deep Learning • Advanced Data Mining • Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 - $70 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. About Traffic SRE Traffic is responsible for delivering LinkedIn products and services to everyone on the Internet. Our team operates the edge of LinkedIn’s data centers with a massive infrastructure that serves over 1 Billion members and Millions requests per second. We develop and manage Layer 4 and Layer 7 network proxies, load balancers, service discovery, monitoring, CI/CD pipelines. We’re looking for engineers who want to solve challenging problems at the pace of LinkedIn’s accelerating growth. It’s highly-visible work that impacts our site every day, and we try to do it in a way that makes our lives easier. Come join us in this mission supporting LinkedIn’s reach to every member of the global workforce. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. This role will be based in Sunnyvale, CA Responsibilities: ● Serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services ● Gain deep knowledge of our complex applications. ● Develop and assist in the roll-out and deployment of new product features and installations to facilitate our rapid iteration and constant growth. ● Develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale linux environment. ● Work closely with partner teams to ensure that platforms are designed with "operability" in mind. ● Function well in a fast-paced, rapidly-changing environment. ● Participate in a 24x7 rotation for second-tier escalations. Basic Qualifications: ● B.S. or higher in Computer Science or other technical discipline, or related practical experience. ● 2+ years experience with operating and troubleshooting Linux at scale. ● Programming skills (Go, C/C++, Python, Rust, Java) Preferred Qualifications: ● 5+ years in a UNIX-based large-scale web operations role. Experience with Kubernetes, Azure, On-prem. ● Experience with reverse proxies / load balancers (ATS, HAProxy, IPVS, etc..), TCP/IP networking. ● Experience with C/C++ / Go / Python server development, performance, and troubleshooting. ● Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a globally diverse, team-focused environment with other SREs, SWEs, Product Managers, etc. ● Knowledge of most of these: data structures, relational and non-relational databases, networking, Linux internals, filesystems, web architecture, and related topics Suggested Skills: 1. Go, C/C++, Python, Rust, Java development and troubleshooting 2. Linux systems and TCP/IP network troubleshooting 3. High availability web services 4. Edge/Traffic networking LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is [$147,000 to $240,000]. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Mountain View, CA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. LinkedIn is looking for a Manager, Technical Program Management for their Production Infrastructure Engineering (PIE) TPM org. The right candidate will have demonstrated solid leadership in leading and managing teams and programs to deliver successful outcomes. This candidate is expected to manage a group of TPMs, partner with key technical leaders to define, prioritize and drive project portfolios and establish the right project management governance practices and frameworks with the larger engineering org. The ideal candidate will have an excellent balance of people, organizational, and technical skills, and can execute and deliver successfully in situations where authority is not a given. Interaction and leadership across functional lines is essential. The right candidate will have demonstrated solid leadership in leading teams and programs to deliver successful outcomes. Responsibilities: • Lead, build and manage the PIE TPM team. Hire, develop, mentor and coach Technical Program Managers for TPM craft and build a high-performing team. • Manage TPM assignment and allocation and ensure portfolio and project health through appropriate resource allocation, prioritization and focus. • Develop strategic project roadmaps and resource plans in partnership with the leadership team. Partner with technical leadership on project execution and delivering successful outcomes. • Evaluate, champion and drive adoption of the right project management methodologies throughout the organization. • Help teams be more efficient, and see the big picture and ensure processes scale appropriately with the company. • Create a collaborative work environment that fosters autonomy, transparency, expertise, innovation, and learning. • Leads efforts to resolve project conflicts and establish appropriate resolution paths. • Manage dependencies between multiple projects and have the ability to understand the big picture across engineering. • Mentor individuals in best practices for project planning and execution. • Develop strong partnerships with technology and business leaders. • Assess and mitigate risk exposure. Basic Qualifications: • B.S in a technical field, or equivalent practical experience. • 3+ years of people management experience managing technical and/or technical program management teams. • 5+ years of full time program management experience within an Engineering or Infrastructure organization. Preferred Qualifications: • Practical and advanced understanding of managing the lifecycle of large-scale programs and projects. • Excellent communication skills; skilled at cross-functional and cross-organizational communication and attention to detail. • Experience with software engineering practices and familiarity with coding techniques. • Comprehensive knowledge of Agile methods and practices through multiple teams (Scrum and Kanban). • Ability to traverse both vertically and horizontally in a large organization. • Successfully traverse tactical and strategic objectives. Suggested Skills: • Program Management • Infrastructure & Data Center Domain Knowledge • Cross-functional Collaboration • Strategic Roadmaps • People Leadership You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $134,000 to $221,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
LinkedIn is the world's largest professional network, connecting professionals globally and creating economic opportunities for every member of the workforce. Our commitment to maintaining the highest standards of security and compliance is crucial to building trust with our members and partners. At Linked, our approach to flexible work is centered on trust and optimized for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Overview We are seeking a Director to lead the Security Foundations Engineering (SFE) team within the Information Security team at LinkedIn. As a key player in our security strategy, you will drive the development and implementation of securing large-scale, distributed systems and microservices. This role will play a pivotal part in the design and execution of solutions to ensure the protection of our data and systems at scale. You will work closely with a team of engineers and cross-functional leaders to build and optimize security infrastructure & systems that supports LinkedIn’s expanding user base and infrastructure needs. Lead the development and implementation of scalable, high-performance security infrastructure solutions that align with LinkedIn’s security objectives. Oversee the strategy and evolution of areas of Identity, Access, Crypto/Key Management, and Vulnerability Management, ensuring solutions meet security, performance, and customer experience, and organizational goals. Direct the execution of large-scale programs, managing full lifecycle operations and guiding the strategic direction of security architecture. Ensure swift resolution and minimal impact to services. Recruit, mentor, and manage a high-performing security infrastructure team, fostering a culture of excellence and continuous growth. Partner with cross-functional teams across Engineering to integrate security solutions and enhance LinkedIn’s infrastructure. Key Deliverables and Measures of Success Develop management practices to improve reliability, quality and performance of security services built and operated by Security Foundations Engineering. Drive the short, medium and long term roadmap for the security services which support LinkedIn’s current and next generation infrastructure. Basic Qualifications 10+ years in security engineering leadership. 10+ years in security building and deploying security architecture, at scale, with at least 5+ of those years in a technical or people leadership position. 4+ years experience in one or more of the following areas: cloud data infrastructure, search infrastructure, ML platforms, large Hadoop infrastructure or equivalent Ability to lead by example and inspire the team to perform at a very high level, collaborates very well across different teams. Highly motivated and has the ability to convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across the entire organization. Preferred Qualifications 10+ years in cybersecurity for a highly regulated industry (e.g., finance, healthcare, energy) or technology. Have a proven track record of developing and implementing successful cybersecurity strategies, including defense-in-depth. 10+ years’ experience in software design, development, and operation. 5+ years experience with large-scale distributed systems and client-server architectures. Experience with building and operating cryptographic systems at scale. Extensive understanding of large scale engineering systems and some or all of big data technologies like Hadoop, Spark, Machine Learning, distributed key-value stores, streaming processes, workflow scheduler, recommender systems, statistical methods, experimental design. Extensive understanding of cloud native computing technologies like Kubernetes Strong leadership abilities in order to communicate and drive cross-functional efforts. Relationship and people leadership skills. "Suggested skills" - Security engineering - Security architecture - Leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $203,000 to $333,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plan. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
Company Description LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Technology leaders collaborate, maintain balance, commit and achieve results – all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. Job Description As a Distinguished Engineer in the LinkedIn Marketing Solutions team (LMS), you will lead technology vision and development for the largest B2B Advertising Network in the world. You will help us define the technology vision for the AI-first transformation of not only the ads products, but the ads stack as well. You will partner with engineering leaders across LinkedIn, to drive the core technical agenda for the organization. You will build advertising platforms and products that impact the lives of over 1 Billion+ members and hundreds of thousands of advertising customers around the world. The successful candidate will be a strong thought leader in the technology space, with the ability to build and execute at scale, inspiring and guiding a large team of engineers solving big problems. LinkedIn Marketing Solutions is the largest and fastest growing scaled B2B Advertising Platform in the world. Some of the things that this team works on: Ad Serving Platform, Tracking Platform, Audiences and Targeting Platform, Marketing Identity Platform. Measurements and Analytics platforms like Customer Data Platform, Engagement Data Platform, Reporting Platform, and DMP Integrations. Analytics products like Website Analytics, Audience Engagement, Sales Impact, etc. Full funnel of advertising like Brand, Consideration, and Performance Advertising consisting of products like Sponsored Messaging, Video/Image/Text Ads, Document Ads, CTV Ads, etc. Demand Platforms and Experiences like Campaign Manager, Business Manager, and API Partner Ecosystem. Advertiser Demand Growth, Advertiser Comms, and Data Foundations. AI, Generative AI, and big data. LinkedIn Audience Network for off-site inventory of our vast network of publishers and partner exchanges. Responsibilities: Possess a strong understanding of the advertising industry and its trends and provide domain expertise to the team. Help define business strategy and technical strategy and drive alignment cross functionally. Head cross team/cross functional discussions and drive alignment on product/technology strategy. Help build highly scalable systems and applications to enable the organization to achieve its goals. Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. Establish a culture that values diverse viewpoints while navigating complex decisions. Qualifications: Basic Qualifications 10+ years of software development experience 4+ years experience in large distributed systems B.A./B.S. degree in Computer Science or related field Preferred Qualifications Masters degree or higher in Computer Science or related field. Relevant advertising industry experience. Experience of technical leadership guiding and mentoring top engineering and operations talent. Excellent verbal and written communication skills. Suggested Skills: * AI/ML expertise * Technical Leadership * Ads domain expertise LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: https://careers.linkedin.com/benefits Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
LinkedIn was built to help professionals achieve more in their careers, and every day, millions of people use our products to connect, discover opportunities, and gain insights. Our global reach allows us to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume—we transform lives through innovative products and technology. Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community. Job Description At Linked, our approach to flexible work is centered on trust and optimized for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days,as determined by the business needs of the team. We are seeking a highly strategic and hands-on Vice President of R&D Regulatory Compliance to lead R&D for LinkedIn’s global compliance initiatives. This is a critical and visible role, overseeing the R&D programs and developing the technology that enables LinkedIn to adhere to applicable laws, regulations, and policies while fostering a culture of trust and accountability. Responsibilities: Regulatory Compliance Leadership: Develop and implement LinkedIn’s R&D compliance strategy and supporting processes, ensuring products and technology systems are compliant with new regulatory requirements as they emerge and integrating compliance-by-design principles into all systems. Policy and Program Oversight: In partnership with our legal and other stakeholders, create and enforce company-wide compliance programs, including training initiatives, monitoring and reporting, internal audits, and awareness campaigns. Regulatory Risk Management: Identify and assess regulatory risks, developing mitigation frameworks to protect the company’s operations and reputation. Cross-Functional Collaboration: Partner with legal, HR, product, and engineering teams to integrate compliance into all aspects of LinkedIn’s operations. Regulatory Engagement: Build and maintain relationships with regulatory bodies and industry groups, representing LinkedIn in discussions and negotiations. Incident Management: Lead responses to regulatory investigations, audits, and compliance-related incidents, ensuring timely resolution. Team Development: Build and manage a high-performing R&D regulatory compliance team, fostering a culture of ethical behavior and accountability. Basic Qualifications: 10+ years of experience in engineering leadership roles, with a focus on compliance, privacy, security or trust. 10+ years of leadership experience managing cross-functional teams. 5+ years of experience in regulatory compliance, legal, or related fields. Proven track record of managing compliance for global organizations, particularly in the tech industry. In-depth knowledge of data privacy laws, content and competition regulations, and industry-specific compliance standards. Preferred Qualifications: Extensive experience navigating global regulatory frameworks such as GDPR, CCPA, DMA and similar. Strong leadership and team-building skills with the ability to manage complex compliance programs. Exceptional problem-solving and risk management abilities. Demonstrated success in regulatory engagement and collaboration with policymakers. Ability to work closely with senior leadership to align compliance efforts with business goals. "Suggested Skills" - Expertise in data privacy, competition, and AI compliance. - Strong communication and stakeholder management skills. - Ability to drive operational efficiency and foster a culture of accountability. - Strategic thinker with a results-driven mindset. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $284,000 to $466,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plan. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA Our Production Network Engineering team is looking for a Staff Backbone & Edge Network Engineer to Design and Operate our Private Backbone to interconnect our NA Data Centers, Edge POP’s, External connectivity to Transits, Peers and Cloud infrastructure. The ideal candidate should have a strong Routing,Traffic engineering and Optical Networking expertise with DevOps and automation mindset. Responsibilities: - Participate in the design and implementation of multi-vendor production networks spanning multiple data centers and locations including public cloud. - Evaluation of new Platforms to meet the growing demands for high capacity and low latency interconnections. - Develop strategy to mitigate DDOS events and run regular Chaos Monkey Activities to look for improvements to procedures. - Conduct, Participate in capacity planning meetings and work with Service providers for evaluating ,provisioning and troubleshooting Long-haul circuits. - Manage Metro interconnections using DWDM transponders. - Collaborate with the Network Software team to evolve SDN traffic engineer controllers to manage Inter-DC traffic. - Plan and implement complex Hardware uplifts and Software upgrades in our Backbone. - Develop and maintain tooling related to Network configuration Generation and automated deployments that can be Unit tested, Peer reviewed and continuously integrated. - Manage individual projects priorities, deadlines and deliverables related to your technical expertise and assigned domains - Mentor and train other team members on coding standards, cloud-design patterns, and infrastructure architecture related to your technical expertise and assigned domains - Participate in 12x7 on-call rotation, and be available to work with global teams in the event of critical outages Basic Qualifications: - BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience - 7+ years of experience working with network protocols such as BGP,ISIS, MPLS, Segment routing - 5+ Years of experience with L3VPN, EVPN, Multicast, CoS, TCP, IPv4, IPv6 related protocols. - 3+ years of experience programming in Python or a similar language as needed in fully-automated devops environment, as well as experience reviewing code and git workflow - Experience in Cloud network design and architecture, including Network Security Groups, hybrid connectivity. - Expert level multi-vendor experience with Arista/Cisco/Juniper products. - Experience in managing and deploying cloud-based resources via declarative cloud management languages (e.g. Ansible, Terraform, or similar technologies) Preferred Qualifications: - 10+ years of experience In Backbone Network, internet peering and Network perimeter Security. - Experience in working with Long-Haul circuits providers and Backbone POP builds. - Experience in Optical transport Network solutions using DWDM technology. . - Expertise in implementing and/or consulting on DevOps principles - Experience in Perimeter Network Security solutions to mitigate DDOS events. Suggested Skills: · Technical Leadership · Advanced Network Design & Architecture . Experience in Internet service provider Routing and Traffic engineering . Knowledge in Optical Transport Network · Mentoring and Knowledge Sharing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 to $240,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid work options, meaning you can work from home and commute to a LinkedIn office, depending on what’s best for you and when your team needs to be together. This role can be based in Mountain View, CA, or Bellevue, WA. Join us to push the boundaries of scaling large models together. The team is responsible for scaling LinkedIn’s AI model training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from recommendation models, large language models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute software, and hardware to harness the power of our GPU fleet with thousands of latest GPU cards. The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, vLLM, Hugginface, DeepSpeed etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries. Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role in building the next-gen training infrastructure to power AI use cases. You will design and implement high performance data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, enable distributed training over 100s of billions of parameter models, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, tensor parallelism, Zero++ etc. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention. PyTorch Lightning and more and more. Feature Engineering: this team shapes the future of AI with the state-of-the-art Feature Platform, which empowers AI Users to effortlessly create, compute, store, consume, monitor, and govern features within online, offline, and nearline environments, optimizing the process for model training and serving. As an engineer in the team, you will explore and innovate within the online, offline, and nearline spaces at scale (millions of QPS, multi terabytes of data, etc), developing and refining the infrastructure necessary to transform raw data into valuable feature insights. Utilizing leading open-source technologies like Spark, Beam, and Flink and more, you will play a crucial role in processing and structuring feature data, ensuring its most optimal storage in the Feature Store, and serving feature data with high performance. Model Serving Infrastructure: this team builds low latency high performance applications serving very large & complex models across LLM and Personalization models. As an engineer, you will build compute efficient infra on top of native cloud, enable GPU based inference for a large variety of use cases, cuda level optimizations for high performance, enable on-device and online training. Challenges include scale (10s of thousands of QPS, multiple terabytes of data, billions of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and enabling GPU inference at scale. ML Ops: The MLOps and Experimentation team is responsible for the infrastructure that runs MLOps and experimentation systems across LinkedIn. From Ramping to Observability, this org powers the AI products that define LinkedIn. This team, inside MLOps, is responsible for AI Metadata, Observability, Orchestration, Ramping and Experimentation for all models; building tools that enable our product and infrastructure engineers to optimize their models and deliver the best performance possible. As a Sr. Staff Software Engineer, you will have first-hand opportunities to advance one of the most scalable AI platforms in the world. At the same time, you will work together with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry. Responsibilities -Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. -Designing, implementing, and optimizing the performance of large-scale distributed serving or training for personalized recommendation as well as large language models. -Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance. -Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team. -Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., vLLMs, PyTorch, GNNs, DeepSpeed, Huggingface, etc.). -Functioning as the tech-lead for several concurrent key initiatives AI Infrastructure and defining the future of AI Platforms. Basic Qualifications: - BS/BA in Computer Science or related technical field or equivalent technical experience - 5+ years of industry experience in software design, development, and algorithm related solutions - 5+ years of experience programming in object-oriented languages such as Python, C++, Java, Go, Rust, Scala - 2+ years of experience as an architect, or technical leadership position - 5+ years of experience in the industry with leading / building deep learning systems - Hands-on experience developing distributed systems or other large-scale systems Preferred Qualifications: - MS or PhD in Computer Science or related technical discipline. - 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position - 10+ years of experience in an object-oriented programming language such as Python, C++, Java, Go, Rust, Scala - 5+ years of experience with large-scale distributed systems and client-server architectures -Experience building ML applications, LLM serving, GPU serving. - Co-author or maintainer of any open-source projects - Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems - Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills: -ML Algorithm Development -Machine Learning and Deep Learning -Information retrieval / recommendation systems -Technical leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Mountain View, CA, or Bellevue, WA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. As part of our world-class software engineering team, you will take the lead in building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: service delivery platform, scalable data storage infrastructure, graph infrastructure, analytics platform, streams processing and data pipelines, cutting-edge search platform, best-in-class AI/ML infrastructure, Kubernetes compute infrastructure, media infrastructure, etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems design, and your passion for writing code that performs at massive scale. LinkedIn has pioneered many well-known open-source infrastructure projects including Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure technologies like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. As a Sr. Staff Software Engineer, you will be a key technical leader and role model within the organization. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn’s broader goals. You will foster LinkedIn’s culture and values around transformation, collaboration and results. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn. Responsibilities: -Deliver impact by driving innovation while building and shipping software at scale -Provide architectural guidance and mentorship to up-level the engineering organization -Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies -Design products/services/tools and code that can be used by others while upholding operational impact of all decisions -Functioning as the tech-lead for multiple key initiatives, identify problems and opportunities and lead teams to architect, design, implement and operationalize systems -Partner closely with teams within the org and customers to execute on the vision for long-term success of our core infrastructure teams -Working closely with the open-source community to participate and influence cutting edge open-source projects. -Keep a platform first approach while designing products/service Basic Qualifications: - BS/BA in Computer Science or related technical field or equivalent technical experience - 5+ years of industry experience in software design, development, and algorithm related solutions - 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala - 2+ years of experience as an architect, or technical leadership position - Hands-on experience developing large-scale, distributed systems, and databases Preferred Qualifications: - MS or PhD degree in Computer Science or related technical discipline - 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position - 10+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala - 5+ years of experience with large-scale distributed systems and client-server architectures - Experience in architecting and designing large-scale distributed systems related to data infrastructure, IaaS, ML/AI infrastructure, storage, graph, Kubernetes, and platforms. Suggested Skills: -Distributed Systems -Technical Leadership -Infrastructure as a Service (IaaS) -Systems Infrastructure LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Mountain View, CA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. Do you want to build, scale, and evolve the next generation remote managed disk solution for LinkedIn? It is a core building block of the entire LinkedIn stack and will replace local disks for the vast majority of use cases. As a foundational storage solution, it will seamlessly scale to 100 PBs and serve 10s of millions of QPS at ultra low latencies. We aspire for lights out operations, needing no human touch as the site scales to 10s of thousands of servers and beyond. We are a small team working on realizing a big vision. If you are looking for an opportunity to make a big impact, come join us in the Infrastructure Software Engineering group. Responsibilities: -You will act as a domain expert for Storage Infrastructure at LinkedIn and own architectural decisions -You will partner with customers and leaders to create roadmaps, drive alignments and deliver products -You will lead and mentor teams, while actively building and operating large scale systems -You will define, enforce and continuously raise the bar for craftsmanship at LinkedIn, bringing in best practices from the industry -You will build a culture of innovation, with bias for execution Basic Qualifications: -BA/BS Degree or higher in Computer Science or related technical discipline, or equivalent practical experience -5+ years of industry experience in software design, development, and algorithm related solutions. -5+ years of experience programming in C/C++, Rust, Go, or similar languages -Hands on experience developing large-scale distributed systems, database, remote disk, and storage -2+ years of experience as an architect or technical leadership position Preferred Qualifications: -MS or PhD in Computer Science or related technical discipline -10+ years experience in software design, development, and algorithm related solutions -5+ years of experience in a technical leadership position -10+ years experience in an object-oriented programming language such as C/C++, Rust, Go -Knowledge of multi-threading, concurrency, and parallel processing technologies. -Experience with industry, open-source projects and/or academic research in large-data, parallel and distributed systems -Experience leading high-impact, cross-organization initiative Suggested Skills: -Distributed Systems -Technical Leadership -Storage systems -Remote Storage LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to 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 legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
