Vor 26 Tagen veröffentlicht

AI Reinforcement Learning Specialist

AI Reinforcement Learning Specialist

AI Reinforcement Learning Specialist

AI Reinforcement Learning Specialist

Deep Tech Recruitment Agency · DeepRec

Internet, IT

Pischelsdorf in der Steiermark

  • Art der Anstellung: Vollzeit
  • Remote
  • Aktiv auf der Suche

AI Reinforcement Learning Specialist

Über diesen Job

Job Type
Permanent
Salary
€80000 - €120000 per annum
AI Reinforcement Learning Specialist (Humanoid Robotics)

Location: Pischelsdorf, Austria (Hybrid/Remote flexibility available)
Company: Rosendahl Nextrom
Employment Type: Full-Time

IMPORTANT: For this position we can only hire EU Citizens . We can support relocation for EU citizens.

Our Client is a global technology leader in high-precision equipment for the battery, cable, wire, and fiber optic industries.

As they expand into AI and robotics, they are building a forward-thinking engineering team to develop humanoid labour as a service - a breakthrough offering for smart logistics, production, and beyond.

We are seeking an AI Reinforcement Learning Specialist to train humanoid robots in both simulated and real-world environments. You will play a pivotal role in building the foundation of this new initiative, applying cutting-edge deep reinforcement learning to extend the intelligence and autonomy of robotic systems for industrial use.

This is a startup-like environment within a well-established global engineering company - ideal for engineers who want autonomy, innovation, and impact.

Responsibilities
  • Design, train, and validate reinforcement learning models for humanoid robotic systems in simulated and physical environments
  • Integrate and optimize training using environments like Isaac SIM, MuJoCo, Unitree Sim, and OmniVerse
  • Develop robust, real-time systems with ROS 2, Linux, and C++/Python
  • Collaborate with mechanical, electrical, and AI teams to implement and test solutions on real hardware
  • Use tools such as GROOT, N1, and Cosmos to streamline deployment and visualization
  • Research and apply state-of-the-art reinforcement learning algorithms for robotics (PPO, SAC, DDPG, etc.)
  • Work toward a scalable ‘humanoid labor as a service’ platform adaptable to our industrial customer base
Ideal Candidate Profile
  • MSc or PhD in Robotics, Computer Science, AI, or related field
  • Proven experience applying reinforcement learning to robotic systems
  • Hands-on expertise with simulators such as Isaac SIM, MuJoCo, and OmniVerse
  • Strong skills in C++, Python, and working in Linux environments
  • Experience with robotic middleware (ROS 2), sensors, actuators, and real-world integration
  • Excellent communication skills and a startup mindset—comfortable working in fast-moving, interdisciplinary teams
What We Offer
  • Competitive compensation package, tailored to candidate experience and market rates
  • Flexible working hours and hybrid/remote work possibilities
  • Opportunity to work on a greenfield project with high visibility and executive support
  • Collaborative and innovation-driven environment, backed by Rosendahl Nextrom’s global reach
  • Access to internal and external training, conferences, and technical mentorship
Vision & Mission

This project is part of our long-term vision to deliver humanoid labor as a service—unlocking advanced robotics for industrial automation, logistics, and beyond. As this is a strategic new direction, you will have a voice in shaping not only the technology but also the business model behind it.

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