AI/ML Policy Engineer

5 days ago

Limerick, Limerick, Ireland beBeeEngineer Full time €120,000 - €160,000
Job Description:

About Us

We're reimagining how machines perceive, decide, and act in the world around them. Our team is developing intelligent systems that bring together best-in-class sensing with real-time AI.

Key Responsibilities:

  • Develop and integrate task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
  • Design and implement short and long-horizon planning systems for real-world robotic applications.
  • Prototype and deploy scalable policy architectures that operate under tight latency and compute constraints at the Edge.
  • Contribute to the evolution of our Edge AI stack by connecting planning with low-level controls and high-level semantic reasoning.
  • Work with real-world and simulated sensor data to test and refine models; contribute to internal datasets and benchmarking tools.
  • Participate in project planning, code reviews, and architectural discussions; take ownership of technical areas and deliver high-quality, reliable implementations.
  • Stay current with trends in AI for robotics (e.g., expert and generalist policies, foundation models), and help integrate relevant advancements into our workflows.

Qualifications:

  • 6+ years of experience in AI, robotics, or computer vision.
  • Bachelor's degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred.
  • Knowledgeable in the areas of robot locomotion, robot kinematics and robot dynamics.
  • Proficient in Python, with practical experience using ROS, PyTorch or TensorFlow.
  • Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal.
  • Experience with DevOps/MLOps tools: Docker, CI/CD pipelines, version control (Git).
  • Skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions.

Why Join Us?

Join our team to help create truly intelligent edge systems — where sensing, learning, and acting happen in real time. You'll work in a fast-paced, collaborative environment, solving hard problems with people who care about impact, reliability, and real-world performance.

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