Boston Dynamics→
Atlas VLA Research Intern at Boston Dynamics in Waltham, MA
InternshipOn-siteFull-timeWaltham, MA$62k–$94k/yr
Skills
pythonc++vla scaling/trainingslammachine learningroboticslarge-scale datasetsdistributed gpu trainingoptimizationtransformer architectures
Job Description
Summary: Boston Dynamics is a company focused on advancing physical AI through innovative robotics. As an intern on the Atlas VLA Research Team, you will lead research projects in Vision-Language-Action models and spatial perception, deploying your ideas on sophisticated robotic hardware.
Responsibilities:
- Lead a high-stakes research project focused on either VLA scaling/training or spatial perception (SLAM/Calibration)
- Prototype and deploy your algorithms directly on Atlas, moving from simulation to hardware
- Architect data pipelines that ingest alternative data sources to improve robot robustness
- Write production-grade code (Python/C++) that integrates with our existing systems
- Collaborate across teams To integrate learned policies with low-level robot control
Required Qualifications:
- Actively pursuing a PhD or a research-heavy Master's in Computer Science, Robotics, Machine Learning, or a related field
- Expertise in ONE or more of the following tracks: Training large-scale multimodal models (VLMs/LLMs), imitation learning, or generative world models for robotics
- Expertise in ONE or more of the following tracks: Classical and learned SLAM, visual odometry, or extrinsic/intrinsic camera calibration at scale
Preferred Qualifications:
- Experience troubleshooting and deploying algorithms on physical robot platforms, especially mobile and humanoid form factors
- Experience working with and contributing to large-scale datasets (e.g., Open X-Embodiment) or specialized data collection approaches like Universal Manipulation Interface
- Experience with large-scale cluster training (SLURM, distributed GPU training) and maintaining high-quality codebases
- Strong grasp of Lie groups, optimization, or transformer architectures
Required Skills: Python, C++, VLA scaling/training
Important Skills: SLAM, Machine Learning, Robotics
Nice-to-Have Skills: Large-scale datasets, Distributed GPU training, Optimization, Transformer architectures