Research Scientist Intern, Reinforcement Learning
Wayve(3 months ago)
About this role
A Reinforcement Learning Intern at Wayve will be embedded within a research team to develop scalable RL algorithms that enable autonomous vehicles to learn complex behaviours from simulation and real-world data. The role focuses on applying cutting-edge research in embodied AI to real-world driving challenges and offers the chance to work closely with experienced researchers and engineers. Candidates should be curious, hands-on, and motivated to iterate experimentally to turn research into impact.
Required Skills
- Reinforcement Learning
- Imitation Learning
- Offline RL
- World Modelling
- Representation Learning
- Reward Modelling
- Policy Optimization
- Credit Assignment
- Python
- PyTorch
+4 more
Qualifications
- Masters in Computer Science
- PhD in Computer Science
- Masters in Robotics
- PhD in Robotics
- Masters in Electrical Engineering
- PhD in Electrical Engineering
About Wayve
firststage.coFirst is an AI-powered hiring platform that helps companies automate recruiting with intelligent candidate screening, fair assessments, and a strong focus on world-class candidate experience. The product includes AI pipeline management and hiring workflows to surface top talent, reduce bias, and cut down administrative work for recruiters. Designed for industry-leading teams, First integrates quickly and can be deployed in minutes with options tailored to scaling organizations.
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