Job
In this role, you will develop machine learning models for autonomous robots, work on data collection, optimize algorithms, and implement your models in real-world applications to enable complex manipulation tasks.
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Job technologies
Your role in the team
- As a Machine Learning Engineer - Robotics, you will develop, train, and deploy learning-based models that enable our robots to perform complex manipulation tasks autonomously.
- You'll work at the intersection of Robot Learning, LLMs, and real-world robotic systems, turning cutting-edge research into capabilities that work reliably on our proprietary physical hardware.
- Together with our robotics and engineering team, you'll take ownership of the full Robot Learning pipeline—from collecting and preparing training data to experimenting with model architectures, evaluating performance, and deploying policies on our robots.
- You will initially focus on developing and advancing the skills of our autonomous cooking robot, with the opportunity to expand your work to entirely new categories of home robots as we grow.
- Your responsibilities will include: Robot Learning & Model Development, Data Collection & Training Pipelines, Model Training & Experimentation, Real-World Robot Deployment, Evaluation & Performance Optimization, Robotic Manipulation, Research & Innovation.
Our expectations of you
Education
- Ideally, you bring: A degree in Machine Learning, Computer Science, Robotics, or a related technical field, or equivalent practical experience.
Qualifications
- We're looking for an engineer with a strong foundation in machine learning who enjoys hands-on experimentation, thinks independently, is driven to understand problems from first principles, and is excited about bringing AI into the physical world.
- Familiarity with the full ML development workflow, from dataset preparation and experimentation to model evaluation and deployment.
- A structured, independent, and first-principles thinking approach to solving complex engineering problems.
- Curiosity, initiative, and a genuine interest in robotics and Physical AI.
- Good English communication skills.
Experience
- Strong practical experience in machine learning, including training, evaluating, and improving neural network models.
- Proficient programming skills in Python and practical experience with modern ML frameworks.
What we offer
- Work on the frontier of Physical AI: Develop learning-based skills for real consumer products, solving challenges that go far beyond academic software and machine learning applications.
- A truly exciting product: You're not building another chatbot or recommendation algorithm.
- Real hardware, real-world impact: Work directly with our robotic platform, collect your own data (with support from our team), train models, and see your algorithms perform physical tasks.
- Freedom to innovate: Explore new architectures, experiment with promising research, and help shape our Robot Learning technology stack and technical direction.
- Ownership from day one: Take responsibility for meaningful technical challenges, with a direct impact on our product's capabilities.
- Direct collaboration with the founders: short decision-making paths, fast iterations, and minimal bureaucracy.
- An experienced, interdisciplinary team: Collaborate closely with talented engineers and designers across robotics, embedded systems, AI, hardware, and product development.
- Professional growth: Take on increasing technical responsibility as we scale our products, technology, and engineering team.
- Employee equity participation: Attractive opportunities to share in the long-term success of Mana Robotics.
Topics you will work on
Job locations
About your employer
Mana Robotics GmbH, based in Dresden, Germany, is an advanced company focused on the development of autonomous cooking robots. By combining robotics, physical AI, and industrial design, the company aims to automate the preparation of fresh meals and simplify everyday tasks. Founded in 2023, Mana Robotics positions itself as a startup in the growing FoodTech sector.
- Startup
- Onsite
- Other Sectors
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