Staff AI Engineer (NY)

LinkedIn•New York, NY

5d•Hybrid

About The Position

AI is at the core of how LinkedIn connects more than a billion members to opportunity across jobs, sales, marketing, content, and trust platforms. As a Staff AI Software Engineer you will own end-to-end machine learning systems that run in production at LinkedIn scale. You won't just train models, you will own the recommender and classification system that power LinkedIn’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 a lead individual-contributor role; we expect you to own all aspects of a significant workstream, align technical direction across orgs, and lead the day to day work of engineers on your own team. As owner you have the freedom to set technical directions and are held accountable for delivering measurable member and business impact with a sense of urgency.

Requirements

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

Nice To Haves

6+ years of relevant AI/Machine Learning experience
MS or PhD in Computer Science or related technical discipline
Experience leading a significant project of 3+ AI engineers
Experience with cross-functional communication to product, engineering, business or data science partners.
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.
Experience leading engineers to tackle a large-scale AI problem
Strong technical background & Strategic thinking
Experience in Machine Learning, Big Data and Deep Learning
Experience in GAI and/or LLMs

Responsibilities

Own end-to-end machine learning systems that run in production at LinkedIn scale.
Own the recommender and classification system that power LinkedIn’s core products.
Translate product requirements into system design.
Train the models to power the system.
Drive experiments that prove efficacy.
Manage the GPU fleets that run them at scale in milliseconds.
Own all aspects of a significant workstream.
Align technical direction across organizations.
Lead the day-to-day work of engineers on your own team.
Set technical directions and deliver measurable member and business impact with a sense of urgency.
Operate systems reliably as on-call and root-cause significant production regressions.