Senior ML Engineer, Computer Vision
Berkshire Grey2 months ago
Bedford, MA, USASenior
Responsibilities
- Develop solution prototypes for challenging computer vision problems in robotic trailer unloading.
- Rapidly prototype solutions and create demonstrations for stakeholders and visitors.
- Support the transition of prototypes to product teams as a subject matter expert.
- Identify high-impact improvements for robotic systems and evaluate advances in robotics.
- Develop, troubleshoot, and apply machine learning to real robotic systems and hardware interactions.
- Train and adapt computer vision architectures for tasks including grasp estimation, object detection and segmentation, depth estimation, and anomaly detection.
- Communicate technical priorities and project status to technical and non-technical stakeholders.
- Provide technical leadership and mentor junior engineers or interns.
Requirements
- Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science, or a closely related field.
- At least 4 years of software development experience focused on robotic manipulation or related areas.
- Strong development expertise in Python and C++.
- Experience with deep learning frameworks such as PyTorch.
- Experience with NumPy, pandas, SciPy, Matplotlib, and scikit-learn.
- Experience training and adapting CNN, ViT, or VLM architectures for computer vision tasks.
- Demonstrated proficiency solving real-world computer vision problems with machine learning.
- Ability to rapidly prototype, troubleshoot robotic systems, prioritize technical work, work independently, and communicate complex ideas clearly.
- Ability to mentor junior engineers and provide technical leadership on key projects.
- Preferred experience with robotic vision sensors, camera-to-robot calibration, RGB and depth data, real and synthetic datasets, data augmentation, real-time perception-based control, robot simulators, model-based and data-driven approaches, Docker, cloud computing, experiment tracking, dataset management, MongoDB, parallel or distributed systems, asynchronous or concurrent programming, and ROS or ROS2.
- Preferred MS or PhD in Machine Learning, Computer Vision, Computer Science, or a closely related field.
Categories
ML EngineeringRobotics
About Berkshire Grey
Berkshire Grey builds AI‑driven robotic systems and software that automate warehouse and logistics workflows such as pick, pack, sort, parcel sortation, and trailer unloading for retailers, e‑commerce, and parcel carriers. The company sells integrated robotics, vision, and orchestration software as deployed systems and services to large fulfillment and logistics operations. Founded in 2013 and headquartered in Bedford, Massachusetts, it focuses on omni‑channel fulfillment and high‑throughput logistics environments.