Helix AI Engineer, Generative AI
Core
Building and scaling generative models (diffusion, autoregressive) to enable humanoid robots to perceive, reason, and act in the real world.
Role type
Generative AI Engineer (Embodied AI)
Builds
Generative models for vision, video, and multimodal domains; synthetic data for robot learning
Domain
Robotics, Embodied AI, Generative Modeling
Deliverable
production ML models
Required skills
Training and deploying large-scale generative models, deep learning for vision/multimodal systems, Python, PyTorch, distributed training systems, software engineering, experimental rigor
Preferred skills
Diffusion models for image/video, multimodal foundation models, synthetic data generation, 3D/video prediction/world models, robotics/embodied AI background, ML publication record
Technologies
PyTorch, diffusion models, multimodal foundation models, distributed training systems
Responsibilities
Design, train, and deploy large-scale generative models; develop models for robot perception and world modeling; build generative systems for synthetic data creation; optimize training pipelines for distributed systems; integrate generative models into the autonomy stack; evaluate model quality and generalization; design scalable experimentation frameworks
Seniority
Mid-to-Senior, hands-on IC