Senior AI Engineer Reinforcement Learning
Amazon-owned Swiss robotics company developing wheeled-legged, Physical-AI robots for autonomous doorstep delivery.
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 that produce robot motor commands from sensor inputs. You will collaborate on learning methods using simulated and real-world data, deploy optimized robot code, mentor engineers, provide technical guidance, and maintain documentation and best practices.
Requirements
- 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
- Markov Decision Process, neural network, policy optimization, transfer learning, domain adaptation, and sim-to-real transfer 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 autonomous robot motor commands
- Design, test, and refine algorithms for locomotion, autonomy, and manipulation tasks
- Collaborate on methods using simulated and real-world data
- Implement deployment-ready code optimized for robot computational constraints
- Build, lead, and mentor software engineers
- Provide technical guidance for strategic decision-making
- Create and maintain documentation, guidelines, and best practices