Staff, ML Research Scientist

Job description

Job responsibilities

• Research and build novel model architectures which allow our robots to operate safely around people.
• Research, build, validate, and deploy ML models to detect hazards, humans, and other environmental features.
• Develop datasets, metrics, and validation plans for ML model research.
• Work closely with a small team to design and prototype new deep learning based perception and behavior models which create safety features for our robots.

Job requirements

• 5+ years of experience applying Deep Learning (ML) to scalable real-world problems in computer vision or LLMs.
• Experience in the full modeling cycle from research to deployment of modern Deep Learning architectures such as Transformers, VLMs/VLAs, and Deep Reinforcement Learning.
• Knowledge of state of the art work in related areas of computer vision, world models, and Deep Reinforcement Learning. Publications are a plus.
• Experience with the full lifecycle of Deep Learning development, including network design, data management, training, evaluation, hyperparameter search, deployment/productionalization, and online validation.
• Strong communication skills, including ability to author technical documentation and deliver presentations on technical topics.
• History of working in small, interdisciplinary teams.