Senior AI Engineer (NYC)
$144,000–$236,000 year
HybridNew York City, New York, United States or New York, United States
New York City, New York, United States or New York, United StatesHybridFull Time$144,000–$236,000 yearSenior LevelInternetEnterprise
Full TimeSenior LevelEnterpriseInternet
Job Summary
Own end-to-end machine learning systems running at LinkedIn scale, translating product requirements into system design, training models for recommender and classification systems, and managing GPU fleets for production inference. Drive experiments proving efficacy, mentor junior engineers, and operate systems reliably as on-call while root-causing significant production regressions. Deliver measurable member and business impact with a sense of urgency, shipping at least one model-based system to drive value for over a billion members.
Required 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
- This role will be based in New York City
- 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
Desired 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
- Experience in Machine Learning and Deep Learning
- Experience in Big Data
- Strong technical background & Strategic thinking
- Experience in GAI and/or LLMs
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