AI Engineer (Reinforcement Learning)

Robotec

Warszawa

On-site

PLN 233,578 - 279,781

Full time

14 days+

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Benefits offered by this job

Private medical care
Sports card
Flexible working hours
Friendly team-oriented culture

Job summary

Robotec in Warsaw is looking for a Mid or Senior AI Engineer to integrate AI methods into various robotics pipelines. You will explore and apply modern machine learning techniques to enhance robotics, collaborate with experts, and contribute to new AI-driven features.

This role requires a strong understanding of Deep Learning concepts, solid Python skills, and fluency in English. Competitive salary up to 23,000 + VAT and flexible hybrid working hours offered.

Qualifications

  • Strong understanding of Deep Learning with focus on Reinforcement Learning.
  • Practical experience with Reinforcement Learning in robotics context.
  • Experience with AI/ML libraries like NumPy, Pandas, and Matplotlib.

Responsibilities

  • Explore and apply modern machine learning techniques to robotics problems.
  • Develop and integrate AI models into existing pipelines.
  • Collaborate with cross-functional teams.
  • Contribute to new AI-driven feature development.

Skills

Machine Learning techniques (RL, agentic AI)
Deep Learning concepts
Software engineering skills in Python
AI/ML frameworks (PyTorch, Jax)
Computer vision methods
Collaboration tools (Git, GitHub)
Excellent communication skills
Fluent English (C1 level)

Education

University degree in Computer Science, Machine Learning, Robotics, or related field

Tools

Python
Git
CI/CD
ROS2

Job 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 checkout 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
  • 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++)
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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