Senior Research Scientist

Senior Research Scientist

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.

Your Responsibilities

• Design, implement, and scale VLA models and foundation architectures for robotic manipulation and navigation.

• Develop strategies for multi-modal data collection, synthetic data generation, and efficient fine-tuning of large-scale models.

• Optimize model inference for real-time robotic applications without compromising reasoning capabilities.

• Contribute to the global research community by publishing high-impact papers at top-tier conferences (NeurIPS, CVPR, ICRA, CoRL, etc.).

• Work closely with the Core Robotics and Hardware teams to integrate AI models into our physical platforms.

Qualifications

• PhD or Master's degree in Computer Science, Machine Learning, Robotics, or a related field, with a focus on Deep Learning and Computer Vision.

• Significant publications and citations at major conferences such as NeurIPS, CVPR, ICCV, ICRA, IROS, or CoRL.

• Experience working in leading AI research environments

• Deep expertise in PyTorch or JAX, experience with Transformers, Diffusion Models, and Large Language Models (LLMs).

• Strong understanding of Vision-Language models and their application to Action/Control loops in robotics.

Location

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

What We Offer

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

Additional Information

• Employment may be contingent upon a background check consistent with applicable law.

• We are an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other status protected by law.