Helix AI Engineer, Video Pretraining
Figure· AI - Helix Team
San Jose, CA$200k - $400kfull-timePosted 6mo ago
About the role
Lead the development of large-scale video foundation models trained on diverse real-world and robot-collected data to enable downstream autonomy capabilities such as perception, prediction, and embodied reasoning.
Responsibilities
- 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.
- Optimize model performance across compute, memory, and training efficiency constraints.
- Collaborate closely with generative modeling, agent, and robot learning teams to integrate pretrained models into the autonomy stack.
- Design evaluation frameworks and benchmarks to measure temporal understanding, prediction quality, and generalization.
Qualifications
- 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.
- Strong experimental rigor and ability to iterate quickly on model design and training strategies.
- Solid software engineering skills and ability to build scalable, reliable systems.
- Ability to operate independently and drive ambiguous, high-impact research directions.
Skills
Required:Video foundation modelsDeep learning architectures for video/vision/multimodalLarge-scale pretrainingPythonPyTorchDistributed training
Benefits
- The US base salary range for this full-time position is $200,000 to $400,000 per year.
Last updated Oct 7, 2026. Interested? Apply on the company site.
About Figure
The future of home help is here
Figure is the first-of-its-kind AI robotics company bringing a general purpose humanoid to life.
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