Senior AI Engineer

Company Description

Linked In is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun where everyone can succeed.

This role will be based in Sunnyvale, San Francisco, Bellevue or New York City. At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

Linked In’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.

• Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions
• Write production quality code and influence the next generation of Linked In’s system
• Collaborate with 10+ machine learning engineers to deliver impact on Linked In newsfeed
• Build scalable AI innovations with foundation and infra partners

• BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience.
• 2+ years experience in software design, development, and algorithm-related solutions.
• 2+ years experience in programming languages such as Java, Python, etc.
• 2+ years experience with machine learning, data mining, and information retrieval or natural language processing.

• 4+ years of relevant machine learning experience.
• MS or PhD in Computer Science or related technical discipline.
• Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing.
• Experience with iterative, test-driven development.
• Experience with configuration management (SVN, GIT, ant, maven, etc.).
• Experience with developing and designing consumer-facing products.
• Experience with Hadoop, Pig, or other Map Reduce paradigms.
• Knowledge of internals Lucene/SOLR or other information retrieval systems.
• Published work in academic conferences or industry circles.

• Experience in Machine Learning and Deep Learning
• Experience in Big Data
• Strong technical background & strategic thinking
• Experience in GAI and/or LLMs

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. Linked In is committed to fair and equitable compensation practices. The pay range for this role is $139,000 - $229,000. 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. Visit

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. Linked In 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.

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