Research Engineer, Infrastructure, Inference
Thinking Machines Lab · San Francisco
Frontier labonsite$400k–$500k
At a glance
Highlights
- Design and scale systems that power frontier AI models for real-world applications.
- Make inference faster, more cost-effective, reliable and reproducible at scale.
- Bring cutting-edge models into production alongside researchers and engineers.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A collaborative systems builder who thrives across stacks and teams, biased to action and passionate about making frontier-model inference fast, efficient and reliable to unblock research.
Requirements
- Bachelor's degree or equivalent experience in computer science, engineering, or similar
- Understanding of deep learning frameworks and their underlying system architectures
- Experience with inference serving systems optimized for throughput and latency
- Thrive in a highly collaborative, cross-functional environment
- Bias for action with initiative to work across stacks and teams
- Strong engineering skills with performant, maintainable code and debugging complex codebases
- visa sponsorship
- We sponsor visas
- hiring process
- Evergreen role kept open on an ongoing basis; applications reviewed continuously with outreach as new opportunities open
Lab profile
About Thinking Machines Lab
Builds frontier AI that extends human will and judgment through customizable models and interfaces.
What they build
- Inkling frontier models
- Tinker model customization
- Human-AI communication interfaces
Known for
- Frontier model training
- Post-training and reinforcement learning
- Evaluation infrastructure
- GPU supercomputing and reliability
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