AI Engineer (Reinforcement Learning)

Robotec.ai is a software company that develops hi-tech solutions for robotics and automotive industries. They help customers build state-of-the-art robotic simulations and testing tools to ensure machines work safely and efficiently. The company also develops various R&D projects and products, focusing on human-centered robotics and open source.

• University degree in Computer Science, Machine Learning, Robotics, or a related field
• Strong understanding of Deep Learning concepts, with a focus on Reinforcement Learning and Large Language Models (LLMs)
• Solid software engineering skills in Python
• Practical experience with Reinforcement Learning in robotics context
• Practical experience with AI/ML frameworks and libraries such as PyTorch, Jax, NumPy, Pandas, and Matplotlib
• Experience with 2D or 3D computer vision methods
• Experience with version control and collaboration tools (Git, GitHub, CI/CD)
• Excellent communication and teamwork skills
• Fluent English (C1 level or higher), both written and spoken

Nice to have:

• Experience training models in parallel simulation environments such as MuJoCo, Isaac Sim, or Genesis
• Experience with Vision-Language-Action Architectures (VLA)
• Experience with agentic AI systems
• Experience with model optimization and deployment on embedded platforms
• Experience with training locomotion policies
• Familiarity with robotics frameworks such as ROS2
• Programming experience in strongly typed languages (e.g., C++)

• Explore and apply modern machine learning techniques (Reinforcement Learning, agentic AI, computer vision) to robotics and simulation problems
• Develop and integrate AI models into existing robotics pipelines
• Work with simulated and real-world data
• Work with generative models
• Collaborate with cross-functional teams across robotics, simulation, 3D modeling, and software engineering
• Contribute to prototyping and development of new AI-driven features