Robotics AI Engineer — Vision, RL & Open Source (Hybrid)

Robotec.ai; Warszawa; Hybrid; PLN 234,000 - 280,000; Full time

Benefits offered by this job

Medical care

Sport card

Hybrid work hours

Open source projects

Job summary

Robotec.ai in Warsaw is seeking a Mid or Senior AI Engineer to integrate AI methods into robotic pipelines and simulations. You will apply modern ML techniques, build vision and control AI systems, and collaborate with robotics, simulation, and software teams to deliver AI-driven features.

The role requires a strong ML background, Python software engineering, and experience with PyTorch/Jax and CV/RL methods.

Qualifications

• University degree in Computer Science, Machine Learning, Robotics, or a related field.
• Strong understanding of Deep Learning concepts, especially Computer Vision, Reinforcement Learning and LLMs.
• Solid software engineering skills in Python.
• Practical experience in AI model training, evaluation, and deployment.

Responsibilities

• Explore and apply modern machine learning techniques (RL, agentic AI, computer vision, synthetic data generation) to robotics and simulation problems.
• Develop and integrate AI models into existing robotics pipelines.
• Develop vision and control AI pipelines for robotics using data from RGB/RGBD cameras or LiDAR.
• Work with generative models, simulated and real-world data.
• Collaborate with cross-functional teams across robotics, simulation, 3D modeling, and software engineering.
• Contribute to prototyping and development of new AI-driven features.

Skills

Python

Deep Learning

Computer Vision

Reinforcement Learning

English proficiency

Education

University degree in CS/ML/Robotics

Tools

PyTorch

Jax

NumPy

Pandas

Matplotlib

Git

CI/CD

Job description

Robotec.ai in Warsaw is seeking a Mid or Senior AI Engineer to integrate AI methods into robotic pipelines and simulations. You will apply modern ML techniques, build vision and control AI systems, and collaborate with robotics, simulation, and software teams to deliver AI-driven features.

The role requires a strong ML background, Python software engineering, and experience with PyTorch/Jax and CV/RL methods.