Senior Robotics & ML Engineer

We are looking for a Senior ML Engineer to bridge the gap between 'remote controlled hardware' and 'autonomous robots'. 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 shipping code that moves atoms.

Activities

• 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)

Requirements

• MS or PhD in Robotics, Computer Science, Artificial Intelligence, or a related field.
• 3-5+ years of hands-on experience in robotics, deep learning, or embodied AI.
• Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX). Experience with Transformers and VLA architectures is highly desirable.
• Ideally familiarity with ROS2 (Robot Operating System), including navigation, manipulation, and driver integration.
• Proven experience with physics-based simulators, specifically NVIDIA Isaac Sim or similar (Gazebo, MuJoCo).
• Ability to manage high quality demonstration datasets, automate data cleaning, and build training pipelines.
• Experience debugging hardware/software interfaces on non-standard platforms.
• Experience with C++ is desired

Team

We are an in-person team and we work out of our office in downtown Berlin. We are a team of experts where every voice matters. Work with professionals that are leading their field.

The founding team has a track record in founding and exiting successful SaaS companies. In total, we bring more than 50 years of experience in automation, software and entrepreneurship.

Application Process

Our hiring process covers the following steps:

• Initial Screening Interview
• In depth Interview covering your past experience
• Technical Assessment Day in Berlin
• Feedback and Focus Session
• Hiring Decision