AI Engineer

Company Description Linked In  is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description This role will be based in Sunnyvale, San Francisco, 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.

Responsibilities: AI is at the core of how Linked In connects more than a billion members to opportunity across jobs, sales, marketing, content, and trust platforms. As an AI Software Engineer you will own end-to-end machine learning systems that run in production at Linked In scale. You won't just train models, you will own the recommender and classification system that power Linked In’s core products.

Your responsibilities cover the full product lifecycle from translating product requirements into system design, training the models to power the system, driving the experiments that prove efficacy, and managing the GPU fleets that run them at scale in milliseconds; you are the engine that drives value for our members.

This is an individual-contributor role; we expect you to be the owner of a well-defined significant workstream, align technical direction within your team, review code and technical designs from your team, and to deliver measurable member and business impact with a sense of urgency.

What success looks like in your first year

Grow to the owner of an AI workstream end to end and ship at least one model-based system to a measured impact on member or business value.

You become the go-to point of contact for your domain within our team and help others onboard to it as needed.

Implement an efficiency or quality improvement (i.e. inference/training efficiency, engineer velocity, or tech-debt removal) backed by data.

You operate systems reliably as on-call and work with senior engineers to root-cause at least one significant production regression.

Why Linked In You 'll work on AI systems with immediate, measurable impact on more than a billion members, alongside engineers who set the industry bar for recommendation systems at scale powered by the latest open source generative models and GPU inference. We encourage staying up to date on industry state-of-the-art and sharing your work with the community through conference, journal, and blog publications.

We invest in your growth with real mentorship, we trust you with real ownership, and we measure what matters: impact, not output according to our core engineering principles.

Impact: quantify the value you created for members, the business and your team Leadership: communicate and lead through influence, not authority

Execution: deliver impact with a sense of urgency

Craft: innovate and create leverage with high-quality solutions

Qualifications

Basic Qualifications Bachelor's degree in Computer Science or related technical field or equivalent technical experience1+ years experience with machine learning, data mining, and information retrieval or natural language processing1+ year of industry experience in software design, development, and algorithm related solutions.
1+ years experience in programming languages such as Java, Python, etc.

Preferred Qualifications 2+ years of relevant AI/Machine Learning experience.

MS in Computer Science or related technical discipline

Experience with PyTorch or similar Deep Learning frameworks

Experience with Spark for data manipulation and transformation

Experience with A/B testing at scale in a consumer-facing product

Experience with AI code development (i.e Claude Code, Codex, Copilot)
Experience adapting pre-trained LLMs to production systems including fine-tuning and student-teacher model paradigms

Published work in academic conferences or industry circles.

Suggested Skills Data Mining Data Coding Machine Learning You will Benefit from our Culture We strongly believe in the well-being of our employees and their families.…