Senior AI Researcher, Robotics
A robotics company is developing humanoid robots for work and home use. The researcher will build and integrate deep learning models for physical robots, working with software, hardware, and controls teams.
Responsibilities
- Design, implement, and train neural networks for robotics, including multimodal and generative models.
- Build and maintain scalable deep learning frameworks for large real-world robot datasets.
- Develop techniques in imitation learning, reinforcement learning, self-supervised learning, and video-based modeling.
- Own the machine learning lifecycle, including data collection and labeling strategies, data pipelines, evaluation, and deployment.
- Integrate and test models on physical robots in collaboration with software, hardware, and controls teams.
- Contribute to internal tooling for large-scale data processing, model experimentation, and continuous integration.
Requirements
- Master’s degree, PhD, or equivalent industry experience in computer science, AI, or a related field.
- Strong software engineering skills, particularly in Python.
- Deep understanding of deep learning architectures, loss functions, optimization, and transformers.
- Extensive hands-on experience with PyTorch.
- Track record of training large-scale deep learning models on large datasets.
Nice to have
- Experience training large language, vision-language, or vision-language-action models.
- Experience with robotic learning systems, multi-task learning, imitation learning, or reinforcement learning.
- Publications at leading AI or robotics conferences.