Senior AI Engineer (NYC)

About the role

This role will be based in New York City. 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.

Responsibilities

• Own end-to-end machine learning systems that run in production at LinkedIn scale.
• Translate product requirements into system design, train models, drive experiments, and manage GPU fleets that run them at scale in milliseconds.
• Own a significant AI workstream end to end and ship at least one model-based system to a measured impact on member or business value.
• Become the go-to cross-team point of contact for your domain and onboard or mentor at least one other engineer onto the stack.
• Drive a meaningful efficiency or quality improvement (i.e., inference/training efficiency, engineer velocity, or tech-debt removal) backed by data.
• Operate systems reliably as on-call and root-cause at least one significant production regression.

Why LinkedIn

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
• Communicate and lead through influence, not authority
• Deliver impact with a sense of urgency
• Innovate and create leverage with high-quality solutions

Qualifications

• 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

Preferred Qualifications

• 4+ years of relevant AI/Machine Learning experience.
• MS or PhD 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., ClaudeCode, Codex, Copilot)
• Experience adapting pre-trained LLMs to production systems including fine-tuning and student-teacher model paradigms
• Experience applying AI/ML to recommender systems at scale
• Published work in academic conferences or industry circles

Suggested Skills

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

Pay

The pay range for this role is $144,000 – $236,000. 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.