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Founding ML Scientist (San Francisco Bay Area)
Founding ML Scientist (San Francisco Bay Area)Greylock • San Francisco Bay Area, CA, United States
Founding ML Scientist (San Francisco Bay Area)

Founding ML Scientist (San Francisco Bay Area)

Greylock • San Francisco Bay Area, CA, United States
Hace 10 horas
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

Stage : Seed

Team Size : Location : SF

Vertical : AI for Physical Science R&D

Were looking for an Applied RS who can run the gamut of ML from infra to modeling and own the entire ML pipeline taking advanced models into production. Our ideal candidate will be looking to build a co-pilot product from the ground up : helping to drive everything from key architectural decisions, applying SOTA methods, and shipping advanced production models in close collaboration with the founders. In key role, you will have real product ownership and the chance to influence not just what gets built, but how it gets built in a true 0->

1 scenario.

If you have 5+ years of experience in Machine Learning (infra and modeling) with 1+ years post-training LLM's and are thinking about starting your own company someday, this could be a great entry-way for you. Not only would you get real-world experience with something so early, but you'd get a chance to make a name for yourself with our investment team as well (making it much easier to get a chance to pitch us on your own idea in the future).

About Greylock

Greylock is a 1st-tier, early-stage venture capital firm that partners with exceptional founders at the seed and Series A stages. Our mission is to help realize rare potential backing category-defining companies such as Figma, Anthropic, Ramp, Abnormal Security, Rubrik, Airbnb, LinkedIn, Roblox, Dropbox, and Coinbase.

About the Greylock Recruiting Team

As full-time, salaried employees of Greylock, our team provides free candidate referrals and introductions to our active portfolio companies. Combined, we bring over 125 years of in-house recruiting experience across startups and large-scale tech companies

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