• 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

• 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

• Prior experience working with robotic learning systems

The US base salary range for this full-time position is between $175,000 – $400,000 annually.