Helix AI Engineer, Video Pretraining

Job summary

Responsibilities

Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Video Pretraining to lead the development of large-scale video foundation models trained on diverse real-world and robot-collected data.

• Design and train large-scale video foundation models on diverse datasets spanning internet-scale video and robot-collected data.
• Develop pretraining strategies that capture temporal dynamics, motion, and object interaction from raw video sequences.
• Build models that learn transferable representations for downstream tasks such as perception, tracking, prediction, and control.
• Explore architectures for video understanding and generation, including transformer-based and diffusion-based approaches.
• Implement efficient data pipelines and training strategies for high-throughput video ingestion and large-scale distributed training.

What they're looking for

• Experience training large-scale models on video data or other high-dimensional sequential modalities.
• Strong understanding of modern deep learning architectures for video, vision, or multimodal systems.
• Experience with large-scale pretraining, including dataset curation, training dynamics, and scaling laws.
• Proficiency in Python and deep learning frameworks such as PyTorch.
• Experience working with distributed training systems and large GPU clusters.

Tech stack

• Python
• PyTorch