Research Infrastructure Engineer, Research Acceleration
Thinking Machines Lab(1 day ago)
About this role
Thinking Machines Lab seeks engineers to build libraries and tools that accelerate AI research and advance collaborative general intelligence. The role supports research teams by delivering robust, production-quality research infrastructure and working closely with cross-functional partners to improve research velocity and reproducibility.
Required Skills
- Evaluation Frameworks
- RL Training
- Experiment Tracking
- Distributed Systems
- Observability
- Python
- Rust
- PyTorch
- JAX
- Data Processing
+2 more
Qualifications
- Bachelor's Degree in Computer Science or Equivalent
About Thinking Machines Lab
thinkingmachines.aiThinking 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.
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