Engineering Manager

San Franciscoonsitemanager$400K$500K

via Greenhouse

About this role

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything. About the Role We're hiring an Engineering Manager to lead a team of senior and staff-level engineers across ML infrastructure and product. You will help the team build and scale systems that are reliable, performant, and easy to operate. This role combines collaboration with hand-on work.…

Read the full description on Thinking Machines Labs's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: go, segment, pytorch, openai, mistral…

2

Level fit

This role is manager-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in San Francisco. We weight your proximity and willingness to relocate.

Score yourself on this role.
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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

gosegmentpytorchopenaimistralteams

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