Staff Machine Learning Scientist/Engineer

📋 Description

• Research and develop model architectures, learning objectives, and data strategies for robot
• Empirical research experience – experience hill climbing on ML models.
• Experience with various data sources – annotation, filtering, mixing strategies.
• Develop scalable self-supervised and generative pre-training methods using web video, egocentric
• Develop post-training approaches—including supervised fine-tuning, imitation learning
• Curate, filter, and evaluate large-scale robotics datasets, including egocentric, UMI, and

🎯 Requirements

• Experience in machine learning, with focus on multimodal foundation models and data for foundation
• Experience with scalable training, such as multi-node training, large datasets and/or large model
• Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR
• Strong engineering skills and hands-on experience with modern machine learning frameworks.
• Ability to design and run rigorous experiments while collaborating closely with engineering and
• Experience translating research ideas into working systems, experiments or deployed capabilities.

🎁 Benefits

• Competitive equity package
• Hybrid working policy
• Opportunity to lead research and own AI programs
• Inclusive and diverse culture