Research Tinker RL Systems

Artificial-intelligence research and product company building customizable AI systems, including the Tinker training API and Inkling open-weight models.

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About Thinking Machines Lab

Thinking Machines Lab develops AI products that let researchers and developers fine-tune and use models, while also releasing open-weight multimodal models.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will develop model-customization techniques and training systems for post-training, including reinforcement-learning systems, numerics, and kernels. You will co-design algorithms and systems across the stack, debug reinforcement-learning runs, optimize pipelines, and work with researchers, companies, external partners, and open-science contributors.

Requirements

  • Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline
  • Proficiency in Python
  • Familiarity with PyTorch, TensorFlow, or JAX
  • Ability to debug distributed training and write scalable code
  • Ability to communicate complex technical concepts in writing
  • Strong interest in Tinker and increasing its usefulness and adoption

Responsibilities

  • Develop frontier model-customization techniques and post-training systems
  • Build reinforcement-learning systems, numerics, kernels, and related training infrastructure
  • Co-design reinforcement-learning algorithms and training systems across the stack
  • Debug reinforcement-learning runs and optimize post-training pipelines
  • Work directly with researchers and companies using Tinker
  • Contribute to open science and collaborate with external partners

Benefits

  • Health benefits
  • Dental benefits
  • Vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support
  • Visa sponsorship