Fremont, US-United States
Posted 15 hours ago
| About The Company A leading innovator in autonomous driving technology, this company is pioneering affordable, map-free solutions for next-generation mobility. With a strong focus on Level 4 autonomy, it partners with major automakers and global tech firms to integrate intelligent driving systems into mass-market vehicles. Operating across Asia and expanding into Europe, it’s shaping the future of smart transportation with scalable, real-world deployments in both passenger cars and robotaxi fleets. Key Responsibilities – Implement RLHF algorithms that align our end-to-end driving model with human preferences and safety criteria – Develop reward models that capture nuanced driving behaviors from real-world scenarios – Develop closed-loop RL training systems that can scale to millions of simulation episodes per second – Create sim-to-real transfer strategies that bridge simulation training and real-world performance – Collaborate with cross-functional teams for end-to-end system integration in both simulation and onboard deployment Preferred Qualifications – Publications in top-tier venues (ICML, NeurIPS, ICLR, ICRA, IROS, etc.) – Open-source contributions to RL libraries or autonomous driving projects – Previous experience with LLM fine-tuning using RLHF – Knowledge of safe RL, interpretable AI, or robustness techniques – Familiarity with autonomous vehicle regulations and safety standards For New Graduates We welcome exceptional new graduates with: – Strong academic background in RL/ML with relevant research projects – Experience with simulation environments and distributed computing – Demonstrated ability to implement complex algorithms from scratch – Portfolio of projects showcasing RL applications |
Job Features
| Job Category | AI Engineering |
| Seniority | Junior / Mid IC |
| Base Salary | $100,000 - $280,000 |
| Recruiter | alber.bayjan@ocbridge.ai |
