Thinking Machines Lab, San Francisco +1
We're hiring a Site Reliability Engineer (SRE) to keep our post-training and reinforcement learning (RL) systems fast, reliable, and easy for researchers to iterate on. Think of this as a production engineering or site reliability role built around model training: you'll own the health of the training runs, clusters, and pipelines that power post-training and RL at Thinking Machines.
You'll work side by side with research teams during active model runs — debugging failures in real time, hardening infrastructure against the next class of problem, and building the tooling and automation that let researchers spend their time on the science instead of babysitting jobs. This role has real ownership: you'll be the person a research team calls when a run stalls at 2am, and the person who makes sure it doesn't happen again.
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
Pay not posted
Posted 15 days ago
PlsnPalo Alto, California
$150K–$220K / yr
Posted 7 days ago
$195K–$285K / yr
Posted Sep 26, 2026
Pay not posted
Posted Mar 8, 2025
Tiger AnalyticsWashington, District of Columbia
Pay not posted
Posted May 8, 2026
$150K–$450K / yr
Posted Oct 5, 2026
Source: the Thinking Machines Lab Ashby job board. We last checked this job 8 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now.
Funding records can have errors and can be missing. The company page has the links.
This base pay is above the median for infrastructure, platform and SRE jobs in the Bay Area with no level in the job title.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.