Role OverviewWe're looking for engineers to build the libraries and tools that accelerate research at Thinking Machines. You'll own internal infrastructure and build systems that compound research velocity over time. This is a collaborative role where you will work directly with researchers to identify bottlenecks and pain points.
What You Will Do
Design, build, and operate research infrastructure including evaluation frameworks, RL training systems, experiment tracking platforms, visualization tools, and shared utilities. Develop high-throughput, scalable pipelines for distributed evaluation, reward modeling, and multimodal assessment.
Why It Might Be a Fit
Success means researchers trust your systems to just work and find them a delight to use. You will partner directly with researchers to identify bottlenecks and unlock new capabilities. Own research tooling like a product manager, proactively seeking feedback and tracking adoption.
Requirements
- Bachelor's degree or equivalent experience in computer science, engineering, machine learning, or similar
- Strong software engineering fundamentals with a track record of building reliable, maintainable systems
- Proficiency in at least one backend language (we use Python or Rust)
- Comfort operating across the stack and owning projects end-to-end
- Experience in highly collaborative environments involving many different cross-functional partners and subject matter experts
Benefits
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
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