Helix AI Engineer, Modeling

1 month ago

San Jose, CA, USASenior

Base Salary

$200k - $400k/yr

Responsibilities

Design and develop multimodal model architectures for perception, reasoning, and action using inputs such as vision, language, and proprioception.
Build models that learn structured representations of objects, dynamics, interactions, and the surrounding world.
Advance multimodal fusion, alignment, cross-modal reasoning, generalization, robustness, and long-horizon reasoning capabilities.
Own work across the model lifecycle, including research, prototyping, training, evaluation, and deployment.
Collaborate with pretraining, video, generative, reinforcement learning, and robot learning teams to integrate modeling advances into the autonomy stack.
Design experiments and evaluation frameworks to understand model behavior and guide iteration.
Contribute to new modeling paradigms for embodied AI systems.

Experience designing and training deep learning models for vision, language, or multimodal systems.
Strong understanding of modern model architectures, including 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 for building reliable, maintainable systems.
Ability to work independently and drive ambiguous, high-impact technical problems.
Preferred qualifications include experience with vision-language or vision-language-action models, representation learning, world models, structured prediction, frontier models, embodied AI, robotics, large-scale training, distributed systems, or relevant research publications.

Full-time position requiring five days per week of in-office collaboration in San Jose, California.
Total compensation may include additional components and benefits beyond base salary.