Helix AI Engineer, Pretraining
Core
Building large-scale foundation models (text, images, video, robot data) to enable generalization, reasoning, and adaptability for embodied AI systems.
Role type
Senior IC machine-learning engineer (pretraining)
Builds
Large-scale foundation models for humanoid autonomy
Domain
Robotics + Multimodal AI
Deliverable
production ML models
Required skills
Training large-scale foundation models, deep learning architectures (transformers), distributed training optimization, Python, PyTorch, experimental rigor, scalable system design
Preferred skills
Frontier foundation model experience, multimodal pretraining, scaling laws, dataset curation, post-training techniques (RLHF, alignment), embodied AI background, publication record
Technologies
PyTorch, transformer-based architectures, multi-node GPU clusters
Responsibilities
Design and train large-scale foundation models across multimodal data; Develop pretraining strategies for generalization and transfer; Explore and implement emerging foundation model paradigms; Work on scaling laws and training dynamics; Build and optimize distributed training pipelines; Collaborate with video, generative, agent, and robot learning teams; Design evaluation frameworks for reasoning and robustness; Contribute to post-training approaches including fine-tuning and alignment
Seniority
Senior, hands-on IC