Deep learning models for vision, language, multimodal systems
Modern model architectures (e.g., transformers)
Multimodal learning approaches
Figure is an AI robotics company developing autonomous general-purpose humanoid robots with a goal to build embodied AI systems that can perceive, reason, and act in the real world
Job Summary
Figure is an AI robotics company developing autonomous general-purpose humanoid robots with a goal to build embodied AI systems that can perceive, reason, and act in the real world.
The Helix team is responsible for developing the core AI systems that power humanoid autonomy, focusing on designing and advancing model architectures and learning approaches.
Responsibilities include designing and developing model architectures for perception, reasoning, and action across multimodal inputs, and working across the model lifecycle from research to deployment.
Matching Summary
Figure is an AI robotics company developing autonomous general-purpose humanoid robots with a goal to build embodied AI systems that can perceive, reason, and act in the real world.
Skills & Requirements
Must-have
deep learning models for vision, language, multimodal systems
modern model architectures (e.g., transformers)
multimodal learning approaches
structured representations of the world
Python and PyTorch proficiency
experimental rigor and iteration
Nice-to-have
frontier model experience
embodied AI and robotics familiarity
large-scale training experience
publication record in ML/CV/NLP/multimodal AI
Key Requirements
Experience designing and training deep learning models
Strong understanding of modern model architectures
Proficiency in Python and deep learning frameworks