Site Reliability Engineer, Post Training
Thinking Machines Lab · San Francisco · New York
Frontier labonsite$300k–$350k
At a glance
Highlights
- Own reliability and uptime of large-scale post-training and RL training jobs.
- Embed with researchers during live model runs to unblock training fast.
- Build self-healing monitoring so stalled runs recover or fail fast.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A calm, ownership-driven engineer who loves debugging live distributed systems alongside researchers and turning 2am failures into permanent, automated fixes.
Requirements
- 4+ years as a production, site reliability, or infrastructure engineer operating large-scale distributed systems in production
- Track record debugging complex distributed systems failures across networking, hardware, kernel, or scheduler issues
- Strong software engineering skills in Python and/or Go/C++
- Solid grounding in Linux systems internals and networking fundamentals
- Comfortable owning production systems including on-call rotations
- visa sponsorship
- We sponsor visas
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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