Senior/Principal Machine Learning Engineer, Manipulation, R&D

Berkshire GreyBedford, MA
$130,000 - $200,000

About The Position

Berkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, and logistics. Our technology automates complex pick, pack, and sort operations. As part of the Research & Advanced Development group, you will develop new approaches to solving challenging manipulation problems for real-world robotics systems, allowing them to understand and interact with their environment in unprecedented ways. Your work will contribute to enhancing the capabilities of our robotic solutions and explore new solutions and approaches, unlocking new value to be delivered to our customers. This position offers a unique opportunity to work at the cutting edge of robotics applied to real-world challenges.

Requirements

  • Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field.
  • 4+ years of experience in software development with a focus on robotics manipulation or related areas.
  • Strong development expertise in Python and C++
  • Experience with major deep learning frameworks such as PyTorch
  • Experience with data science tools & libraries like numpy, pandas, scipy, matplotlib, scikit-learn
  • Experience in working with ROS or ROS2
  • Demonstrated experience training and adapting of existing machine learning architectures for robot learning, to solve tasks in domains such as manipulation, locomotion, or navigation
  • Demonstrated ability to: Develop on and troubleshoot real robotic systems
  • Demonstrated ability to: Determine and communicate justification of technical priorities
  • Demonstrated ability to: Rapidly prototype and iterate on solutions to challenging problems
  • Demonstrated ability to: Work independently on a variety of projects while maintaining focus
  • Demonstrated ability to: Work in a fast-paced environment with changing priorities
  • Demonstrated ability to: Mentor junior engineers
  • Strong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholders
  • Provide technical leadership on key projects

Nice To Haves

  • PhD in Robotics, Machine Learning, Computer Science or a closely related field.
  • Demonstrated technical proficiency in robot manipulation learning, such as reinforcement learning or imitation learning
  • Experience with: Applying machine learning to hardware interacting with the real world
  • Experience with: Real and simulated data capture
  • Experience with: Sim-to-real for robotic manipulation
  • Experience with: Real-time perception-based control
  • Experience with: Incorporating tactile sensor information into manipulation behaviors
  • Experience with: Robot simulators (e.g. Isaac Sim or MuJoCo)
  • Experience with: Robot learning frameworks (e.g. Isaac-Gym, Orbit / Isaac Labs)
  • Experience with: Combining model-based and data-driven approaches
  • Experience with: Docker, cloud computing, or similar applications
  • Experience with: Experiment tracking and dataset management (e.g. Weights & Biases)
  • Experience with: Database systems as data source, such as MongoDB
  • Experience with: Parallel/distributed systems and asynchronous/concurrent programming
  • Knowledge of LLM usage within robotics context

Responsibilities

  • Develop robotic learning solution prototypes to improve our robots’ ability to solve increasingly complex tasks at unprecedented speeds
  • Quickly prototype solutions, creating demos for stakeholders and visitors
  • Serve as subject matter for transitioning prototypes to product teams
  • Identify high impact areas for improvements of our robotic systems to solve real problems
  • Utilize and extend simulation software environments to develop and test manipulation behaviors
  • Stay abreast of the latest advancements in robotics and related fields, evaluating applicability to our challenges
  • Collaborate with external research partners to find solutions for BG’s problem space
  • Assist with mentorship of more junior engineers or interns
  • Communicate technical priorities and status.
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