We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries—empowering businesses to streamline operations, boost productivity, and unlock new possibilities.
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.
Research & Development:
Scaling Laws & Data:
Algorithm Optimization:
Publication & Visibility:
Contribute to the global research community by publishing high-impact papers at top-tier conferences (NeurIPS, CVPR, ICRA, CoRL, etc.).
Collaboration:
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:
Technical Mastery:
Deep expertise in PyTorch or JAX, experience with Transformers, Diffusion Models, and Large Language Models (LLMs).
Domain Knowledge:
Boston, Massachusetts:
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.
