Machine Learning Engineer, Reinforcement Learning & Reward Modeling
Wayve(7 months ago)
About this role
Wayve is hiring a Machine Learning Engineer to advance training, evaluation, and deployment of embodied AI behaviours by working at the intersection of ML engineering, applied reinforcement learning research, and ML systems. The role focuses on designing reproducible, high-throughput pipelines and tooling for reward models and RL agents, integrating diverse data sources from simulation and the real world. The position is based in Vancouver and contributes to building scalable systems that improve the real-world behaviour and reliability of autonomous driving agents.
Required Skills
- Reinforcement Learning
- Reward Modeling
- Python
- PyTorch
- JAX
- ML Pipelines
- Data Processing
- Simulation Environments
- Experiment Design
- Hyperparameter Tuning
+4 more
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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