Location: Remote, EU (within CET ±3 hours)
Employment Type: Full-time
Department: Engineering
About the Opportunity We’re partnering with an innovative robotics company on a mission to redefine intelligent automation in manufacturing. This organisation is building next-generation robotic systems that combine cutting-edge AI with flexible hardware to create smarter, more adaptive automation solutions for real-world production environments.
As an Applied AI Research Engineer, you’ll contribute directly to developing advanced AI systems for robotics — transforming the latest academic and industry research into deployable, real-world solutions. This is a hands-on research and development role at the intersection of AI, robotics, and embodied intelligence.
What You’ll Do
- Conduct R&D in areas such as:
- Foundational Models (LLMs, VLMs, VLAs): Apply multimodal and large language models to robotic decision-making.
- Reinforcement Learning: Design and implement control strategies for robotic manipulation and task execution.
- Sim2Real Transfer: Leverage synthetic data and simulation tools to enable robust model deployment in real environments.
- Collaborate with cross-functional engineering teams to bring research concepts to production-ready applications.
- Stay at the forefront of the latest advancements in AI and help shape how intelligent automation evolves in manufacturing.
- Strong background in machine learning, deep learning, computer vision, or algorithmic development.
- Hands-on experience applying research to real-world use cases.
- Solid understanding of LLMs, VLMs, and reinforcement learning (on/off-policy, actor-critic, model-based).
- Proficiency in Python and experience with frameworks such as PyTorch, TensorFlow, or Hugging Face.
- Comfortable working in Linux environments with tools like Docker, Git, and Conda.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Excellent analytical and problem-solving abilities, with a structured and creative mindset.
- Strong communicator who can clearly express complex concepts and research insights.
- Experience with robotics systems (e.g. ROS/ROS2, Behaviour Trees)
- Exposure to agentic AI or multimodal AI research
- Join a company pioneering AI-driven robotics with a mission to make automation accessible and efficient across industries.
- Work alongside an expert team at the forefront of intelligent systems development.
- Enjoy a flexible, remote-first culture with competitive compensation and opportunities for growth and innovation.