Helix AI Engineer, Modeling

Responsibilities

• Design and develop model architectures for perception, reasoning, and action across multimodal inputs (e.g., vision, language, proprioception)
• Build models that learn structured representations of the world, including objects, dynamics, and interactions
• Advance multimodal learning approaches, including fusion, alignment, and cross-modal reasoning
• Improve model capabilities in areas such as generalization, robustness, and long-horizon reasoning
• 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

Requirements

• Experience designing and training deep learning models for vision, language, or multimodal systems
• 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
• Solid software engineering skills and ability to build reliable, maintainable systems
• Ability to operate independently and drive ambiguous, high-impact technical problems

Bonus Qualifications