Research Engineer

present of AI; München; On-site; EUR 65,000 - 90,000; Full time

Job summary

InLoop Robotics in Germany is seeking a research engineer in robotics to turn research ideas into working systems spanning perception, control, and learning. You will code, test, and integrate modules for real robot setups, with hardware-in-the-loop evaluation.

You will design experiments, build datasets, and read papers to advance prototypes toward reliable operation, collaborating with engineers to ship robust policies.

Qualifications

• Strong coding ability with a grounding in machine learning or robotics.
• Evidence of building and testing real systems, and ability to read and reproduce papers.
• Ability to collaborate with engineers to move prototypes toward reliable operation.

Responsibilities

• Turn research ideas into working robotic systems across perception, control and learning.
• Design training data, evaluate policies and analyze model failures on real robots.
• Work with hardware-in-the-loop setups and collect/label demonstration data for robust evaluation.

Skills

Robot learning

Python

ML tooling

Real robot experiments

Tools

Python

Job description

A research engineer in robotics typically turns research ideas into working systems, often spanning perception, control and learning, and needs strong coding plus a solid grounding in machine learning or robotics. A strong candidate shows evidence of building and testing real systems, reading and reproducing papers, and working closely with engineers to move prototypes toward reliable operation. At a company building automated picking and packing stations with vision policies and teleoperation, that means comfort with messy real world data and hardware in the loop.

How it fits the AI era

AI is central to this kind of work, since vision based policies and learning from human demonstrations are the core methods. The role shifts toward designing training data, evaluating policies, and finding where models fail in the real world. Human judgment stays essential for framing problems, judging safety and reliability, and deciding what is good enough to ship.

How it builds AI experience

The role offers hands on experience with robot learning, computer vision and teleoperation data, which are in demand across robotics. Building this background means working with real robot setups, collecting and labeling demonstration data, and running careful evaluations rather than only training models offline. Public projects or papers on manipulation or vision policies help show that experience.

Worth showing

• Robot learning projects
• Python and ML tooling
• Real robot experiments

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About InLoop Robotics

Robots-as-a-service automated picking and packing stations powered by continuous vision policies and human-in-the-loop teleoperation, per the company.