Robotics Machine Learning Engineer

Talantir; Berlin; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Stock options

Berlin office

Cutting-edge tech

Impact projects

Startup environment

Expert team

Job summary

RoboService is seeking a Robotics Machine Learning Engineer to bridge remote controlled hardware and autonomous robots on the factory floor.

You will establish training pipelines—from teleoperation data collection to fine-tuning VLA models—and apply reinforcement learning to optimize complex manipulation and locomotion tasks, leveraging simulation before deployment.

Qualifications

• Education: Bachelor’s or Master’s degree in Robotics, Computer Science, Artificial Intelligence, or a related field.
• 3+ years of hands-on experience in robotics, deep learning, or embodied AI.
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
• Experience with Transformers and VLA architectures is highly desirable.
• Familiarity with ROS2 (Robot Operating System) including navigation, manipulation, and driver integration.
• Simulation experience with physics engines, NVIDIA Isaac Sim or Gazebo/MuJoCo.
• Data engineering: manage high quality demonstration datasets, automate data cleaning, build training pipelines.
• Experience debugging hardware/software interfaces on non-standard platforms; C++ experience desired.
• Proficiency in English.

Responsibilities

• Fine-tuning VLA models (open source and partner models).
• Managing the Data Pipeline and Teleoperation/Imitation Learning for data quality.
• Apply RL techniques to fine-tune robot actions for production-line robustness.
• Use high-fidelity simulation environments (NVIDIA Isaac Sim, Omniverse) for training and testing.

Skills

Python

PyTorch

Transformers

VLA models

ROS2

NVIDIA Isaac Sim

Gazebo/MuJoCo

C++

Education

Bachelors or Masters in Robotics/CS/AI

Tools

TensorFlow

Omniverse

Job description

Company Description

RoboService solves the "Last Mile" of humanoid robotics. While manufacturers provide the hardware and foundation models, these general-purpose "brains" are not yet ready for the specific, accurate tasks of a production line. We bridge that gap. We don't build foundation models from scratch; we operationalize them. We take state-of-the-art VLA models and fine-tune them for reliability, speed, and precision in real-world manufacturing environments. We are not a research lab; we are shipping code that moves atoms. Launched in July 2025 by repeat founders with successful exits, we are looking for engineers who want to take robots out of the lab and onto the factory floor.

Role Description

We are looking for a Robotics Machine Learning Engineer to bridge the gap between "remote controlled hardware" and "autonomous robots". We work with robotics manufacturers that provide great hardware and a model infrastructure, but are missing the software to fine-tune the models on a specific task. Your primary focus will be establishing training pipelines—from teleoperation data collection to fine-tuning VLA models—and utilizing Reinforcement Learning (RL) to fine-tune complex manipulation and locomotion tasks. You won't be writing papers. You will be:

• Fine-tuning VLA models (open source and proprietary models from our partners)
• Managing the Data Pipeline and overseeing the Teleoperation and Imitation Learning activities for data quality. Manage large datasets required for fine-tuning models.
• Reinforcement Learning (RL): Apply RL techniques to fine-tune robot actions, ensuring robust performance when the robot works on the production line.
• Utilize high-fidelity simulation environments (NVIDIA Isaac Sim, Omniverse) to train and test agents before deploying them to physical hardware. (Sim2Real)

Qualifications

Education: Bachelor’s or Master’s degree in Robotics, Computer Science, Artificial Intelligence, or a related field.

Experience: 3+ years of hands-on experience in robotics, deep learning, or embodied AI.

• Core ML Skills: Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX). Experience with Transformers and VLA architectures is highly desirable.
• Robotics Middleware: Ideally familiarity with ROS2 (Robot Operating System), including navigation, manipulation, and driver integration.
• Simulation: Proven experience with physics-based simulators, specifically NVIDIA Isaac Sim or similar (Gazebo, MuJoCo).
• Data Engineering: Ability to manage high quality demonstration datasets, automate data cleaning, and build training pipelines.
• Pioneering: Experience debugging hardware/software interfaces on non-standard platforms.
• Experience with C++ is desired
• Proficiency in English

What We Offer

• Stock Options: You will be compensated in salary and generous stock options -- we want you to feel like an integral part of the success and growth of the company
• Berlin based: We’re an in-person team and we work out of our office in downtown Berlin. If you’re not in Berlin, we would like to help you move here.
• Access to Cutting Edge Tech: Work daily on the latest software and hardware that will shape our future.
• Impact: Work in real projects with manufacturers to bring robots onto manufacturing floors.
• Startup Environment: We are a fast-moving startup with high growth ambitions.
• Team of Experts: We are a team of experts where every voice matters. Work with professionals that are leading their field.