Senior Research Scientist

About the Role

We are looking for a world-class Senior Research Scientist to join our R&D hub in the Boston area. In this role, you will be at the forefront of developing Vision-Language-Action (VLA) models that enable robots to understand and interact with the world with unprecedented generalization. You will work on the intersection of large-scale foundation models and real-world robotic execution, bridging the gap between state-of-the-art research and deployed embodied intelligence.

Responsibilities

• Research & Development: Design, implement, and scale VLA models and foundation architectures for robotic manipulation and navigation.
• Scaling Laws & Data: Develop strategies for multi-modal data collection, synthetic data generation, and efficient fine-tuning of large-scale models.
• Algorithm Optimization: Optimize model inference for real-time robotic applications without compromising reasoning capabilities.
• Publication & Visibility: Contribute to the global research community by publishing high-impact papers at top-tier conferences (NeurIPS, CVPR, ICRA, CoRL, etc.).
• Collaboration: Work closely with the Core Robotics and Hardware teams to integrate AI models into our physical platforms.

Qualifications

• Academic Excellence: PhD or Master's degree in Computer Science, Machine Learning, Robotics, or a related field, with a focus on Deep Learning and Computer Vision.
• Proven Research Track Record: Significant publications and citations at major conferences such as NeurIPS, CVPR, ICCV, ICRA, IROS, or CoRL.
• Professional Background: Experience working in leading AI research environments.
• Technical Mastery: Deep expertise in PyTorch or JAX, experience with Transformers, Diffusion Models, and Large Language Models (LLMs).
• Domain Knowledge: Strong understanding of Vision-Language models and their application to Action/Control loops in robotics.

Benefits

• Medical, dental, and vision insurance for you and your dependents
• 401(k) with 100% company match, up to 6%
• 20 days paid time off
• Parental leave
• Paid sick leave
• Wellness or gym stipend
• Learning and development support
• Equity/Bonus

Location: Boston, Massachusetts — This role is based in our Boston office, offering a vibrant ecosystem for robotics and AI.