Machine Learning Engineer – Robot Learning (mfd)

Your Mission

As a Machine Learning Engineer Robot Learning you will help develop evaluate and deploy learning-based methods for real-world robotic manipulation. You will work at the intersection of machine learning robotics and systems engineering adapting state-of-the-art research into robust scalable capabilities that run on real hardware.

You will collaborate closely with robotics autonomy perception simulation and software teams and you will own ML workflows from model design to deployment and testing on real robots.

Your Responsibilities

Research evaluate and benchmark state-of-the-art robot learning methods (VLA models diffusion policies RL imitation learning visuomotor models)

Adapt academic models for practical real-world deployment on RobCos modular robots

Train and fine-tune ML models using RobCo datasets and simulation data

Integrate learned policies with perception control and robot runtime systems

Build scalable training evaluation and data pipelines in collaboration with infrastructure teams

Define clear performance metrics and build automated evaluation procedures in simulation and on real hardware

Analyze model performance identify regressions and drive improvements

Collaborate with robotics and autonomy engineers to ensure safety reliability and real-time performance

Participate in research planning and contribute to technical decisions across the robot learning stack

Share knowledge support junior team members and help shape internal ML best practices

Your Profile

Degree in Machine Learning Robotics Computer Science Mathematics Engineering or a related field (Masters degree necessary)

Hands-on experience with robot learning imitation learning reinforcement learning or deep learning

Strong coding skills in Python and experience with PyTorch or JAX

Experience training or evaluating ML models (university projects internships research labs industry experience all count)

Familiarity with robotics concepts or experience deploying ML on real systems (internship or lab experience is sufficient)

Ability to design experiments analyze model behavior and communicate insights clearly

Strong problem-solving mindset and eagerness to work on real robots

Bonus : familiarity with ROS 2 scalable training tools (Ray Anyscale) or robotic datasets

Why us

Shape the robot learning capabilities of a next-generation modular robotics platform

Work with real hardware simulation tools rich datasets and scalable ML infrastructure

Research-focused culture with direct real-world deployment

High ownership autonomy and strong technical growth opportunities

Hybrid work model flexible hours and cutting-edge equipment

About us

RobCo is spearheading a revolution in robotics empowering businesses to thrive by supercharging productivity and freeing them from labor shortage. We are searching for you to build RobCo into the category-leading robotics company in Europe and the US. Weve raised more than $50 million from the worlds best VCs such as Sequoia Capital and Lightspeed as well as the founders of UiPath Helsing Pitch and other companies to fulfill our mission.

At RobCo applicants are selected regardless of ethnic origin religion gender age disability or sexual orientation. All decisions throughout the recruitment process are based solely on the qualifications skills knowledge and experience of the applicants and the relevant business requirements.

Key Skills

Aerospace Engineering,Data Entry,Business Management,Flexcube,Contract

Employment Type : Full-Time

Experience : years

Vacancy : 1