Helix AI Engineer, Modeling

Strong understanding of modern model architectures (e.g., transformers and related approaches)

Experience improving model performance through architectural innovation and experimentation

Proficiency in Python and deep learning frameworks such as PyTorch

Strong experimental rigor and ability to iterate on model design and performance

Experience working on frontier models at companies such as OpenAI, Google DeepMind, Anthropic, Meta, or xAI

Familiarity with embodied AI, robotics, or real-world ML systems

Build models that learn structured representations of the world, including objects, dynamics, and interactions

Work across the model lifecycle, from initial research and prototyping to training and deployment

Collaborate closely with pretraining, video, generative, RL, and robot learning teams to integrate modeling advances into the full autonomy stack

Design experiments and evaluation frameworks to understand model behavior and guide iteration

Contribute to the development of new modeling paradigms for embodied AI systems