Helix AI Engineer, Modeling
Core
Design and advance core model architectures and learning approaches for perception, reasoning, and action in embodied AI systems.
Role type
Senior IC machine-learning engineer (multimodal embodied AI)
Builds
Core AI systems powering humanoid robot autonomy
Domain
Robotics + Multimodal AI
Deliverable
production ML models
Required skills
deep learning model design, transformer architectures, Python, PyTorch, experimental rigor, software engineering, independent problem solving
Preferred skills
multimodal model experience, representation learning, world models, frontier model experience, embodied AI/robotics background, large-scale training, publication record
Technologies
PyTorch, transformers
Responsibilities
Design model architectures for perception, reasoning, and action; Build models learning structured world representations; Advance multimodal learning approaches; Improve model generalization and robustness; Work across model lifecycle from research to deployment; Collaborate with pretraining, video, RL, and robot learning teams; Design experiments and evaluation frameworks
Seniority
Senior, hands-on IC