AI Engineer (Reinforcement Learning)

Nasze wymagania: 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 Mile widziane: 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++) O projekcie: We are looking for a Mid or Senior AI Engineer who will help us integrate AI methods into various robotics pipelines. Zakres obowiązków: 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 Oferujemy: 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.