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About the Role
We are searching for a motivated Lead ML Engineer to lead the development, maintenance, and integration of data-driven models of industrial robots for use in motion planning and optimization. This person will play a vital role on the team, provide technical leadership to a team of 2–3 engineers, and help shape the future of industrial automation.
Responsibilities
- Develop machine learning methods to predict the dynamic motion of industrial robots.
- Provide technical leadership and mentorship to a team of 2–3 engineers.
- Define the technical vision and roadmap for data-driven robot dynamics modeling.
- Apply strong MLOps practices to build and maintain the data pipelines and infrastructure for robot motion modeling.
- Integrate learned models into Realtime's Resolver optimization engine.
- Collaborate closely with robotics and software engineers to deliver production-ready solutions.
- Help determine product and technical priorities while contributing to development in a fast-moving technology company.
Requirements
- Experience with multiple machine learning methods for robotic manipulators, including several of: System identification, Dynamic model estimation, Trajectory generation, Learning from demonstration.
- 5+ years of programming experience (python or C++).
- Strong software engineering habits, including version control and unit testing in a Linux environment.
- Demonstrated technical leadership through architecture ownership, project leadership, or mentoring engineers.
- MS or PhD in Robotics, Computer Science, Mathematics or related disciplines.
- Strong English communication skills, both verbal and written.
- Ability to work from our Boston, MA or Berlin, Germany office approximately 50% of the time (US work authorization is required for the Boston location).
- Ability to excel in international and collaborative teams.
- Self-driven and able to solve challenging technical problems.
- Desire to work in a fast-paced startup environment.
- Experience with industrial robots and their simulation environments.
- Familiarity with robot kinematics and dynamics.
- Strong publication record in ML & robotics conferences & journals (CoRL, RSS, ICRA, IROS, ICML, ICLR).
- Experience developing and deploying machine learning models in production software.
Skills
- Python
- C++
- Machine Learning
- MLOps
- Robotics
- System identification
- Dynamic model estimation
- Trajectory generation
- Learning from demonstration
- Software engineering
- Version control
- Unit testing
- Linux
- Robot kinematics
- Robot dynamics
Location
- Boston, MA
- Berlin, Germany
Work Type
- Hybrid
Experience Level
- 5+ years of programming experience
- Lead
Education Level
- MS or PhD in Robotics, Computer Science, Mathematics or related disciplines
Benefits
- Unlimited PTO
- Commuting Expenses Covered
- Telecommunications Stipend
About the Company
- We're redefining how robots are deployed. Our platform enables users to simulate, test, and optimize entire robotic systems in parallel.
- By removing the barriers that have kept advanced robotics out of reach for all but the largest players, we're ushering in a new era of manufacturing—one where mass reshoring is not only viable, but inevitable.
- With our industrial AI platform, we enable companies to design and optimize multi-robot workcells in the cloud, eliminating the need for manual robot programming.
- Our Resolver technology automatically generates collision-free robot programs by optimizing workcell layouts, task allocation, and robot paths, helping customers increase throughput and reduce the cost of industrial automation before deployment.