Conduct foundational research to advance LLMs and multimodal systems
Design, implement, and evaluate novel model architectures and training methods
Collaborate with engineering to turn research prototypes into production systems
Analyze results, identify bottlenecks, and iterate to improve model quality
Contribute to internal research strategy by identifying high-impact AI trends

🎯 Requirements

Research background in AI/ML, Physics, or related field
Experience solving analytical problems using quantitative approaches
Experience communicating research to audiences with different backgrounds
Experience coding in C/C++, Python, or similar languages
PhD degree in CS, Computational Physics, Mathematics, or a similar field
Experience with ML frameworks such as PyTorch, TensorFlow, or Jax

🎁 Benefits

Meaningful equity in a fast-growing startup
Comprehensive benefits package
Ownership and impact in a fast-growing, results-driven team

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