Staff Machine Learning Engineer, End-to-End Autonomy

Rivianis on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

As a member of the Autonomy team, you will guide the architecture, implementation, and deployment

of the Large Driving Model (LDM). This model will support not only perception tasks (e.g., object

detection, onboard map detection, scene understanding) but also downstream decision-making and

closed-loop autonomy.

Key areas of responsibility include:

• Developing technical strategy and architecture for end-to-end autonomous driving model
• Developing multi-modal, multi-task transformer-based systems that support closed-loop
• autonomy
• Building training and evaluation pipelines at scale across petabytes of real-world and
• simulated driving data
• Collaborating with cross-functional teams across perception, planning, simulation, and ML
• infrastructure
• Driving alignment between model capabilities and real-world deployment constraints (latency,
• robustness, validation)
• Publishing internal technical guidance and mentoring engineers across autonomy ML

• B.S., M.S., or Ph.D. in Computer Science, Robotics, or a related field
• 5+ years of experience building and deploying large-scale ML 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 ML projects from research to production

Bonus

• Prior work on end-to-end autonomous driving architectures (e.g., imitation learning, behavior
• cloning, world models)
• Experience with sensor fusion (LiDAR, camera, radar) in a learned model

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us atcandi

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