AI Engineer (Reinforcement Learning)

Explore and apply modern machine learning techniques (RL, 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

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 (RL) 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

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++)

Work with the best experts in robotics, simulation using the latest technologies.
Opportunity to contribute to open source.
Competitive salary (up to 23 000 + VAT).
Cosy office space near Rondo Daszynskiego, Warsaw.
Private medical care and sports card.
Flexible working hours in hybrid mode.
Friendly and team-oriented culture.

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