Member of Technical Staff, Vision / Language

What You'll Do

• Design and implement vision-language pipelines for egocentric and teleoperation video: structured captioning, temporal grounding, action-conditioned scene understanding, and semantic annotation at scale
• Develop and evaluate representations that bridge visual perception, language, and low-level robot action — spanning VLAs, video prediction, and world models
• Build and improve data curation systems that assess quality, diversity, and coverage of large-scale robot demonstration datasets
• Work hands-on with bimanual and high-DoF manipulation data, including real teleoperation footage and sim-generated rollouts
• Collaborate directly with partner labs to define data requirements and close the loop between data quality and downstream policy performance
• Stay current on the research frontier (VLAs, video foundation models, flow matching, DiT architectures, egocentric pretraining) and translate insights into production systems

Requirements

• MS or PhD in Computer Science, Robotics, Machine Learning, or a related field from a top-tier program
• 3–7 years of research or applied research experience (industry or academic) in one or more of: vision-language models, video understanding, robot learning, or generative modeling
• Deep fluency in PyTorch; working knowledge of large-scale training infrastructure (distributed training, mixed precision, large batch workflows)
• Published work or demonstrable impact in VLMs/VLAs, video representation learning, imitation learning, or a closely related area
• Strong engineering fundamentals — you can design clean systems, not just run experiments

Benefits

• Competitive compensation and equity
• Comprehensive health and wellness benefits
• Flexible work arrangements
• Collaborative and fast-paced work environment
• Opportunity to shape the future of robotics and AI alongside an ambitious, values-driven team