Lead Robotics ML Engineer

United States Digital Space LLC

Berlin

Vor Ort

EUR 90.000 - 150.000

Vollzeit

14 Tage+

Erhalte mehr Antworten von Arbeitgebern

Versende in nur wenigen Minuten einen passgenauen Lebenslauf.

Benefits dieser Stelle

Unlimited PTO
Commuting Expenses Covered
Telecommunications Stipend

Zusammenfassung

United States Digital Space LLC in Berlin/Boston is seeking a Lead ML Engineer to drive data-driven models for industrial robots, motion planning, and optimization. You will mentor a small team and shape the technical roadmap, collaborating with robotics and software engineers to deliver production-ready solutions.

This role offers hybrid work between Berlin and our Boston office, with opportunities to advance research and deploy scalable ML systems in a fast-paced startup environment.

Qualifikationen

  • 5+ years of programming experience in Python or C++.
  • Strong Linux software engineering habits, including version control and unit testing.
  • Demonstrated technical leadership through architecture ownership or mentoring engineers.
  • MS or PhD in Robotics, Computer Science, Mathematics or related disciplines.
  • Strong English communication skills, both verbal and written.

Aufgaben

  • 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 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 technology startup.

Kenntnisse

Python
C++
Leadership
MLOps
English

Ausbildung

MS/PhD in Robotics

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.

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.

Reporting to the Senior Director of Robotics, the Lead ML Engineer will leverage their technical and theoretical knowledge to extend our core technology capabilities. This role will define the technical direction for our robot controller modeling technology and contribute to novel research.

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:
    • 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
Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
oder ziehe deine Datei hierhin.
Similar jobs

Ähnliche Jobs, die dir auch gefallen könnten

Senior Robotics ML Engineer
Senior Robotics ML Engineer

Realtime Robotics, Inc. • Berlin

Vor Ort
EUR 90.000 - 130.000
Unlimited PTO
Commuting expenses covered
Telecommunications stipend
Senior Robotics ML Engineer
Senior Robotics ML Engineer

Realtime Robotics, Inc. • Berlin

Hybrid
EUR 70.000 - 110.000
Unlimited PTO
Commuting Expenses Covered
Telecommunications Stipend
Robotics Engineer Intern
Robotics Engineer Intern

United States Digital Space LLC • Berlin

Hybrid
EUR 60.000 - 80.000
Unlimited PTO
Commuting expenses covered
Telecommunications stipend
(Senior) Machine Learning Engineer, Robot Learning (m/f/d)
(Senior) Machine Learning Engineer, Robot Learning (m/f/d)

United States Digital Space LLC • München

Vor Ort
EUR 90.000 - 120.000
Central workspace in Munich
Stock options
International culture
Senior Machine Learning Engineer
Senior Machine Learning Engineer

THRYVE • Berlin

Vor Ort
EUR 90.000 - 140.000
(Senior) Machine Learning Engineer, Robot Learning (m/f/d)
(Senior) Machine Learning Engineer, Robot Learning (m/f/d)

Batch Robotics GmbH • München

Vor Ort
Vertraulich
Impact on robotics domain
Growth opportunities in startup
Ownership potential
+1
Senior Robotics Engineer
Senior Robotics Engineer

Sereact • Stuttgart

Hybrid
EUR 85.000 - 120.000
Wellpass gym membership
Flexible working hours
Work from home option
+1
Robotics Control Engineer
Robotics Control Engineer

Glocomms • Dresden

Vor Ort
EUR 70.000 - 110.000
Senior Robotics Engineer
Senior Robotics Engineer

Sereact • Stuttgart

Hybrid
EUR 70.000 - 110.000
Wellpass gym membership
Flexible working hours
Option to work from home when needed
+2
Head of Advanced Robotics
Head of Advanced Robotics

R3 Robotics • Karlsruhe

Vor Ort
EUR 120.000 - 180.000
Autonomy
Cutting-edge technologies
Strong learning curve
+1