1 day ago
London, United KingdomStaff+
Responsibilities
- Develop the technical strategy and architecture for an end-to-end autonomous driving model.
- Build multimodal, multitask transformer-based systems supporting closed-loop autonomy.
- Develop training and evaluation pipelines at scale across real-world and simulated driving data.
- Guide the architecture, implementation, and deployment of Rivian’s Large Driving Model.
- Collaborate with perception, planning, simulation, and ML infrastructure teams.
- Align model capabilities with real-world deployment constraints including latency, robustness, and validation.
- Publish internal technical guidance and mentor engineers across autonomy machine learning.
Requirements
- Bachelor’s, master’s, or Ph.D. degree in Computer Science, Robotics, or a related field.
- At least five years of experience building and deploying large-scale machine learning systems.
- Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation.
- Strong software engineering background with fluency in Python and C++.
- Experience training and evaluating transformer models or end-to-end autonomous agents.
- Familiarity with real-time inference systems and autonomous vehicle constraints.
- Proven leadership in driving machine learning projects from research to production.
- Prior experience with end-to-end autonomous driving architectures, imitation learning, behavior cloning, or world models is a bonus.
- Experience with sensor fusion involving LiDAR, cameras, or radar in a learned model is a bonus.
Categories
ML EngineeringRobotics
About Rivian
Rivian designs and manufactures electric vehicles, including the R1T pickup, R1S SUV, and commercial delivery vans, selling directly to consumers and fleet operators. Founded in 2009 and headquartered in Irvine, California, it operates a manufacturing plant in Normal, Illinois, and is publicly traded on NASDAQ. The company also develops in-vehicle software and electrical architecture and offers charging and service support for its owners.