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.

AI Engineer, Large Scale Training - Helix Team