Software Engineer, Research Acceleration

Thinking Machines Lab(1 day ago)

San Francisco, CAOnsiteFull TimeSenior$350,000 - $475,000Research Engineering

About this role

A Research Infrastructure Engineer at Thinking Machines Lab focused on enabling and accelerating ML research by providing scalable internal infrastructure and tooling. The role supports research teams across the organization to improve reproducibility, experiment tracking, and evaluation capabilities. The position is based in San Francisco or New York.

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Required Skills

Python
Rust
Distributed Systems
Experiment Tracking
Evaluation Frameworks
RL Training
Observability
PyTorch
JAX
Scalable Pipelines

+1 more

Qualifications

Bachelor's Degree

About Thinking Machines Lab

thinkingmachines.ai

Thinking Machines Lab is an artificial intelligence research and product company focused on making advanced AI systems more widely understood, customizable, and generally capable. They aim to close gaps between rapidly advancing capabilities and the scientific/public understanding of how these systems are trained and used. Through research, public-facing writing (the Connectionism blog), and products such as their recently introduced Tinker, they build tools and knowledge to help people and organizations tailor AI to their needs and values.