Senior AI Engineer Reinforcement Learning Manipulation
Amazon-owned Swiss robotics company developing wheeled-legged, Physical-AI robots for autonomous doorstep delivery.
Zurich, Switzerland
Funding history
About RIVR
RIVR develops full-stack autonomous delivery robots that combine wheels, legs, AI software, and remote operational support to navigate the last mile and final 100 yards, including curbs, stairs, gates, and doorsteps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop, test, and refine reinforcement-learning algorithms for contact-rich dexterous manipulation. You will translate visual, depth, tactile, and proprioceptive inputs into motor commands, solve real-world manipulation challenges, and collaborate on methods using simulated and real-world data.
Requirements
- Background in robotic manipulation, dynamics, grasp synthesis, and trajectory optimization
- Master’s degree or higher in Engineering, Robotics, Machine Learning, or a relevant field
- At least five years of industry or research experience
- Deep learning, supervised learning, self-supervised learning, and reinforcement-learning knowledge
- Robotics autonomy or manipulation background
- Experience deploying artificial neural networks on hardware platforms
- Production-level modern C++ programming ability
- Python prototyping and deep neural network training ability
Responsibilities
- Develop reinforcement-learning algorithms for contact-rich dexterous manipulation
- Translate sensor input into end-effector and joint-level motor commands
- Design, test, and refine algorithms for real-world manipulation challenges
- Collaborate on methods that leverage simulated and real-world data