Embedded R&D Software Engineer for Post-Training AI

Bison; San Francisco (CA); On-site; USD 350,000 - 475,000; Full time

Benefits offered by this job

Health, dental, and vision benefits

Unlimited PTO

Paid parental leave

Relocation support

Job summary

Thinking Machines in San Francisco is hiring an engineer to strengthen the foundations used by our post-training research teams. You will embed with a research group and build or improve systems required for team success.

You will design, build, and operate infrastructure including RL training systems, sandboxing, data pipelines, and agent scaffolding. The role offers autonomy and impact in a fast-moving AI environment.

Qualifications

• Bachelor's degree or equivalent in CS/ML/Physics/Math.
• Experience leading projects end to end in large codebases.
• Proficiency in Python and debugging systems at scale.
• Strong written and verbal communication.

Responsibilities

• Embed within a research team and build, harden, and improve the systems and infrastructure required for the team to succeed.
• Design, build, and operate infrastructure researchers depend on, including RL training systems, sandboxing, data pipelines, and agent scaffolding.

Skills

Python

Codebase navigation

Engineering fundamentals

System debugging

Clear communication

Education

Bachelor's degree or equivalent in CS/ML/Physics/Math

Tools

Sandboxed execution environments

Containerization

Job description

Thinking Machines in San Francisco is hiring an engineer to strengthen the foundations used by our post-training research teams. You will embed with a research group and build or improve systems required for team success.

You will design, build, and operate infrastructure including RL training systems, sandboxing, data pipelines, and agent scaffolding. The role offers autonomy and impact in a fast-moving AI environment.