Helix AI Engineer, Modeling
Figureai•5h ago
United StatesOnsite$200K–$400KFull-timeMid Level5+ yrs exp
Top focus
Ai Engineer
- Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason
- act in the real world. Figure is headquartered in San Jose, CA
- this role requires 5 days/week in-office collaboration.
- Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Modeling to design and advance the core model architectures and learning approaches that enable perception, reasoning
- action in embodied systems.
- This role focuses on developing new modeling approaches across vision, language, and action—spanning representation learning, multimodal fusion, and model capabilities that directly impact robot intelligence.
- Responsibilities
- Design and develop model architectures for perception, reasoning, and action across multimodal inputs (e.g., vision, language, proprioception)
- Build models that learn structured representations of the world, including objects, dynamics, and interactions
- Advance multimodal learning approaches, including fusion, alignment, and cross-modal reasoning
- Improve model capabilities in areas such as generalization, robustness, and long-horizon reasoning
- Work across the model lifecycle, from initial research and prototyping to training and deployment
- Collaborate closely with pretraining, video, generative, RL, and robot learning teams to integrate modeling advances into the full autonomy stack
- Design experiments and evaluation frameworks to understand model behavior and guide iteration
- Contribute to the development of new modeling paradigms for embodied AI systems
- Requirements
- Experience designing and training deep learning models for vision, language, or multimodal systems
- Strong understanding of modern model architectures (e.g., transformers and related approaches)
- Experience improving model performance through architectural innovation and experimentation
- Proficiency in Python and deep learning frameworks such as PyTorch
- Strong experimental rigor and ability to iterate on model design and performance
- Solid software engineering skills and ability to build reliable, maintainable systems
- Ability to operate independently and drive ambiguous, high-impact technical problems
- Bonus Qualifications
- Experience with multimodal models (vision-language or vision-language-action systems)
- Background in representation learning, world models, or structured prediction
- Experience working on frontier models at companies such as OpenAI, Google DeepMind, Anthropic, Meta, or xAI
- Familiarity with embodied AI, robotics, or real-world ML systems
- Experience with large-scale training or distributed systems
- Publication record in machine learning, computer vision, NLP, 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
- 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.
Required skills
Pythondeep learningPyTorchmultimodal systemstransformers