Senior Research Engineer for RL-based Robot Navigation & Control

Reference: PR73223

We are seeking a highly motivated and experienced Senior Research Engineer specializing in Reinforcement Learning (RL) for Robot Navigation and Control. In this role, you will lead innovative research projects aimed at developing cutting-edge algorithms to enhance the autonomy and efficiency of robotic systems. You will work closely with a multidisciplinary team of engineers and researchers to design, implement, and evaluate RL-based solutions for complex navigation and control challenges in dynamic environments. Your responsibilities will include formulating and testing new RL algorithms, optimizing existing models, and conducting experiments to validate performance under real-world conditions.

To succeed in this position, you should possess a strong background in robotics, machine learning, and control theory. A Ph.D. or equivalent experience in a related field is preferred, along with proven experience in developing RL algorithms and their applications in robotics. Proficiency in programming languages such as Python and C++, as well as familiarity with machine learning frameworks like TensorFlow or PyTorch, is essential. Additionally, you will be expected to mentor junior engineers, contribute to research publications, and collaborate with external partners to advance the state of the art in robot navigation and control. If you are passionate about pushing the boundaries of robotics through Reinforcement Learning, we invite you to apply and join our team of innovators.

COMPETITIVE SALARY

Little Switzerland

Permanent

ANYbotics

Added 25/11/2025
Reference: PR73223

Senior Research Engineer for RL-based Robot Navigation & Control

Little Switzerland
Permanent
ANYbotics

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