Senior Robotics ML Engineer

Realtime Robotics, Inc.; Berlin; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Unlimited PTO

Commuting Expenses Covered

Telecommunications Stipend

Zusammenfassung

Realtime Robotics, Inc. seeks a skilled robotics ML engineer to develop methods predicting dynamic robot motion and to mentor a small team of 2–3 engineers in a fast‑moving startup.

You will define the technical vision and roadmap for data‑driven dynamics modeling, apply MLOps to data pipelines, and integrate learned models into the Resolver optimization engine while collaborating with robotics and software engineers to deliver production‑ready solutions.

Qualifikationen

• MS or PhD in Robotics, CS, Mathematics or related field.
• 5+ years of programming experience (Python or C++).
• Experience with multiple ML methods for robotic manipulators.
• Strong Linux, version control and unit testing habits.
• Proven technical leadership through architecture ownership or mentoring.

Aufgaben

• Develop ML methods to predict dynamic motion of industrial robots.
• Provide technical leadership to a 2-3 engineer team.
• Define the technical vision and roadmap for data-driven robot dynamics modeling.
• Apply MLOps to build 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 in a fast-moving startup environment.

Kenntnisse

ML for robotics

Python or C++

Linux software engineering

Technical leadership

English communication

Ausbildung

MS/PhD in Robotics/CS/Math

Tools

Git

ROS

CI/CD

Jobbeschreibung

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.

In this position, you will:

• 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

Preferred qualifications

• 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

Benefits

• Unlimited PTO
• Commuting Expenses Covered
• Telecommunications Stipend