Connectionism: Research Blog by Thinking Machines Lab. Backed by a16z, Accel and GV.
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. You’ll partner with tech leads to set the technical direction for your team and own its execution. You should also be ready to go deep on system design and contribute directly when needed.
What they're looking for
- Bachelor’s degree or equivalent industry experience in computer science, engineering, or similar
- 8+ years of experience building and scaling production systems, including system design and distributed systems
- 3+ years of engineering management experience in high-growth environments
- Experience managing teams of senior or staff-level engineers
- Background in infrastructure, systems engineering, or developer productivity
- Familiarity with AI/ML systems, data infrastructure, or high-performance computing
More about this role
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
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. You’ll partner with tech leads to set the technical direction for your team and own its execution. You should also be ready to go deep on system design and contribute directly when needed.
Lead and grow a team of senior and staff-level engineers, setting clear expectations and maintaining a high bar for execution.
Own architecture, system design, and long-term technical direction for your team's systems, with emphasis on reliability and performance.
Contribute directly to design reviews, prototyping, and debugging critical issues.
Partner with researchers and product teams to...
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