Helix AI Engineer, Video Pretraining
Key Skills for This Role
Full Job Posting
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
Requirements
- 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
Bonus Qualifications
Experience working on frontier video models or multimodal foundation models
Background in video diffusion, autoregressive video modeling, or world models
Experience at leading AI labs such as OpenAI, Google DeepMind, Google, ByteDance, Midjourney, or Adobe
Experience with large-scale dataset construction and filtering for video pretraining
Familiarity with robotics, embodied AI, or learning from egocentric / first-person video
Publication record in machine learning, computer vision, or multimodal AI
The US base salary range for this full-time position is between $200,000 - $400,000
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
About Figure
AI robotics company developing general-purpose humanoid robots designed to work alongside people in real-world environments.
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