ironquill.tech/board

$ cat jobs/senior-ai-engineer-nyc-linkedin3-bc0f32ad59ba.json

Senior AI Engineer (NYC)

Linkedin3·US·New York, US·senior
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LinkedIn 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. 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: 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. What success looks like in your first year: You own a significant AI workstream end to end and ship at least one model

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