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AI Engineer (Reinforcement Learning)

Robotec.ai
CompanyRobotec.ai
CategoryEngineering
LocationWarsaw
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted27 Mar 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Robotec.ai is a deep-tech company and global leader in robotics simulation, digital twins, and Physical AI enablement . Our mission is to accelerate the development, validation, and deployment of autonomous systems and Physical AI through high-fidelity, scalable, and open simulation platforms. We are believers in open source. You can check out some of our projects on  GitHub  .  We are looking for a  Mid or Senior AI Engineer who will help us integrate AI methods into various robotics pipelines.  What you will do:  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  Requirements 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    Nice to haves:  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++)  Benefits What’s in it for you:  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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AI Engineer (Reinforcement Learning) — Robotec.ai · Job Opportunities API