Research Software Engineer, Post Training
Thinking Machines Lab6 hours ago
Base Salary
$350k - $450k/yr
Responsibilities
- Embed within a research team to build, harden, and improve the systems and infrastructure required for its success.
- Design, build, and operate RL training systems, sandboxing, data pipelines, and agent scaffolding.
- Lead projects end to end and debug systems that fail intermittently and at scale.
- Write maintainable code that other engineers and researchers depend on.
Requirements
- Strong proficiency in Python and strong engineering fundamentals.
- Experience leading projects end to end and working in large, fast-moving codebases.
- Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline.
- Ability to explain complex technical concepts clearly in writing.
- Preferred experience with large-scale sandboxed or containerized execution environments.
- Preferred familiarity with at least one deep learning framework, such as PyTorch, TensorFlow, or JAX.
Benefits
- Generous health, dental, and vision benefits.
- Unlimited paid time off.
- Paid parental leave.
- Relocation support as needed.
- Based in San Francisco, California.
- Annual base salary range of $350000-$450000 USD.
- Visa sponsorship is available with a commitment to work through the visa process together, though success is not guaranteed for every candidate or role.
Categories
About Thinking Machines Lab
Thinking Machines Lab develops AI and generative AI software and conducts applied research to help organizations make data-driven decisions. The company builds products and data science solutions for enterprise use cases, pairing foundational models with practical tooling and services across industries. It is privately held and headquartered in San Francisco.