AI Engineer Reinforcement Learning (Senior)
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Job Location:
Zürich - Switzerland
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Amazon RIVR is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off RIVR developed wheeled-legged robots designed to operate in complex unstructured environments such as stairs gates doors and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world where robots can learn from rich operational data at scale.
Following our acquisition by Amazon in March 2026 we are continuing this mission with greater reach and speed. By combining custom robot hardware onboard autonomy and cloud-based coordination Amazon RIVR is building the next generation of safe reliable autonomous robots for last-mile delivery
What youll be doing
- Develop cutting-edge reinforcement learning algorithms to enable robots to autonomously execute motor commands based on raw sensor input.
- Design test and refine your algorithms to meet the demands of complex real-world locomotion autonomy and manipulation tasks.
- Collaborate with the computer vision and imitation learning team to innovate methods that leverage both simulated and real-world data.
- Implement deployment-ready code for the real robot optimized for the robots computational constraints.
- Build lead and mentor an exceptional team of software engineers.
- Provide expert guidance to product managers and executives for strategic decision-making.
- Create and maintain documentation guidelines and best practices to streamline knowledge sharing.
What you must have
- Masters degree or higher in a relevant field such as Engineering Robotics or Machine Learning.
- A minimum of five years of industry or research experience with PhD experience applicable.
- Strong deep learning fundamentals including supervised and self-supervised learning techniques and reinforcement learning including Markov Decision Processes (MDPs) neural network architectures policy optimization algorithms model-based vs. model-free RL exploration-exploitation strategies value function methods transfer learning domain adaptation sim-to-real transfer etc.
- Strong background in robotics including autonomy and/or manipulation.
- Experience with deploying artificial neural networks on hardware platforms.
- Ability to write production-level code in modern C.
- Ability to prototype algorithms and train deep neural networks in Python.
Get some bonus points
- PhD degree in Robotics Engineering Computer Science Machine Learning or a similar discipline or an equivalent amount of research experience.
- Publications at top-tier conferences.
- Experience in managing a software team.
Required Experience:
IC
About Company
Discover RIVR's innovative Physical AI solutions revolutionizing last-mile delivery. Our autonomous robots ensure faster, safer, and sustainable deliveries of parcels, groceries, and meals
