Senior AI Engineer (NYC)

LinkedIn•New York, NY

4d•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 Senior 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 senior individual-contributor role; we expect you to be the owner of a well-defined significant workstream, align technical direction across teams, mentor junior engineers on your own team, and to deliver measurable member and business impact with a sense of urgency.

Requirements

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.

Nice To Haves

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.
Experience in Machine Learning and Deep Learning
Experience in Big Data
Strong technical background & Strategic thinking
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 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.