Site Reliability Engineer, Production
Thinking Machines Lab · San Francisco · New York
Frontier labonsite$300k–$350k
At a glance
Highlights
- Own end-to-end reliability for Tinker fine-tuning API used by researchers.
- Define SLOs and observability across full distributed training path.
- Lead incident response with reviews that prevent future recurrences.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
Reliability-minded engineer who thrives on owning production systems end-to-end and partnering with research and platform teams to make large-scale training robust and resilient.
Requirements
- Bachelor's degree or equivalent experience in computer science, engineering, or similar
- Experience in distributed systems, cloud infrastructure, or site reliability engineering
- Proficiency writing software to solve reliability problems, including building tooling and automation
- Experience with production incident response, postmortems, and systematic reliability improvement
- Strong communication skills and track record of coordination across engineering and research teams
- 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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