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Site Reliability Engineer, Production

Thinking Machines Lab · San Francisco · New York

CHECKED 12H AGO

Frontier labonsite$300k–$350k
Apply on the lab’s site ↗

At a glance

Highlights

  • Drive end-to-end reliability for Tinker fine-tuning API platform
  • Own monitoring and incident response across full training path
  • Harden multi-tenant isolation to maximize utilization safely

What they offer

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support as needed

Ideal candidate

A reliability-driven engineer who loves owning production end-to-end and partnering with researchers to make frontier training robust, resilient, and fast to recover.

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
  • Deep experience operating production cloud services at scale
  • Background in distributed training frameworks and how infrastructure failures surface in training behavior
  • Track record building checkpoint and recovery systems for long-running distributed jobs
  • Expertise in Kubernetes at scale: deploying, operating, debugging, and tuning clusters handling heterogeneous GPU workloads
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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
More about Thinking Machines Lab →
Apply on the lab’s site ↗