AI Research Engineer - Robotics, Control, RL

AI Research Engineer - Robotics, Control, RL

Helsing

Multiple Locations

The role

At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks.

You will be a part of a team focused on advancing robotics through reinforcement learning, where you will design, train and deploy agents to be deployed in robots in complex environments.

The day-to-day

• You will contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi-agent reinforcement learning.
• You will contribute to projects and will collaborate with people across several teams and backgrounds.

You should apply if you

• Hold an MSc in machine learning with a speciality in either robotics, reinforcement learning, or automation and control.
• Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.
• Are passionate about keeping up to date with current research and enjoy reimplementing / extending papers on state of the art Deep Learning-based approaches.
• Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.

Nice to have

• PhD in robotics, reinforcement learning, or automation and control, or related fields and have authored publications in top-tier journals and conferences (eg, NeurIPS, CoRL, ICLR, ICRA).
• Experience with deploying RL models into real-world robotics platforms.
• Experience in design, physical modeling and control of complex and highly interactive robotic systems using state-of-the-art tools and techniques.
• Experience deploying AI software to production including testing, quality assurance, and monitoring.

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