Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. It’s time to build.
Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for a deep learning engineer with a particular emphasis on large-scale training techniques and experience with multimodal models. The successful candidate will be responsible for developing and training state-of-the-art deep learning models that enable Figure's robots to perceive, act, and interact with the world in increasingly sophisticated ways.
Responsibilities:
- Architect and maintain scalable deep learning frameworks for training on massive robot datasets
- Implement distributed training and parallelization strategies to reduce model development cycles
- Integrate data from various domains (e.g., vision, audio, and sensor inputs) into unified, high throughput deep learning pipelines
- Leverage and contribute to internal tooling for data processing, model experimentation, and continuous integration
Requirements:
- The ideal candidate will have a strong computer science background, excellent attention to detail, and a passion to make an impact
- Track record of training large scale deep learning models
- Excellent communication skills
- Thrive in a high pace environment, where solutions are often unclear and require exploration
Bonus Qualifications:
- Prior experience working with robotic learning systems
The US base salary range for this full-time position is between $175,000 - $400,000 annually.
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.