Senior Machine Learning Engineer, Berkshire Grey
Manipulation
Office located in Bedford, MA
Autonomous fulfilment robots
Be an early applicant
Autonomous fulfilment robots
201-500 employees
Be an early applicant
Office located in Bedford, MA
201-500 employees
Company mission
To help businesses succeed with AI-enabled robotics that transforms the way they thrive, compete and win.
Role
Who you are
- 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
- Determine and communicate justification of technical priorities
- Rapidly prototype and iterate on solutions to challenging problems
- Work independently on a variety of projects while maintaining focus
- Work in a fast-paced environment with changing priorities
- 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
Desirable
- 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
- Real and simulated data capture
- Sim-to-real for robotic manipulation
- Real-time perception-based control
- Incorporating tactile sensor information into manipulation behaviors
- Robot simulators (e.g. Isaac Sim or MuJoCo)
- Robot learning frameworks (e.g. Isaac-Gym, Orbit / Isaac Labs)
- Combining model-based and data-driven approaches
- Docker, cloud computing, or similar applications
- Experiment tracking and dataset management (e.g. Weights & Biases)
- Database systems as data source, such as MongoDB
- Parallel/distributed systems and asynchronous/concurrent programming
- Knowledge of LLM usage within robotics context
What the job involves
- 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
- 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
Our take
The boom in eCommerce over recent years has created a need for increased productivity in fulfilment, with businesses needing to scale up to remain competitive. Berkshire Grey develops and supplies AI-powered robots for warehouses and fulfilment centres, delivering intelligent, mobile robots for supply chain process automation to increase throughput, lower delivery times, and reduce costs.
Setting up robotics systems can be very costly for companies, which is why Berkshire Grey offers a Robots as a Service (RaaS) model. This enables businesses to automate their processes without a large upfront investment. By using its robots, Berkshire Grey claims, businesses can reduce picking costs by 70-80% and increase throughput by 25-35%—impressive numbers that certainly make it a strong choice for interested parties.
Despite competition from Amazon Robotics and Fetch Robotics, Berkshire Grey has carved out a niche in the growing robotics market. In 2023, the company merged with SoftBank in a $375 million go-private transaction. This merger aims to strengthen Berkshire Grey's capabilities, streamline operations, and maintain a competitive edge. The merger with SoftBank will enable the company to better serve its customers with its disruptive AI robotics technology, driving efficiency in their operations.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
5% employee growth in 12 months
Company
Funding (2 rounds)
Jan 2020
$263m
SERIES B
Apr 2016
$13.5m
SERIES A
Total funding: $276.5m
Company benefits
- Healthcare - Full medical, dental and vision. Life insurance, gym stipends and wellness programs
- Vacation - We value hard work and we like to have fun. Take time when you need it
- Recognition - Peer shout outs, achievement celebrations and leadership awards let you know you’ve made a difference
- Retirement - Stock options and generous 401(k) matching
- Nutrients - Lunch is delivered daily, a plethora of snacks, gourmet coffee, Soylent, and top-shelf beverages
Company HQ
Bedford, MA
Leadership
Tom Wagner
(CEO)Tom Wagner is the founder of multiple pilot activities and serves as an advisor to small companies and universities. Prior to Berkshire Grey, Wagner had the privilege of serving as the Chief Technology Officer of iRobot. Prior to joining iRobot, Wagner served as a program manager at the Defense Advanced Research Projects Agency (DARPA), the research and development agency of the US Department of Defense.
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