Staff Machine Learning Engineer, Motion Planning, Autonomy

Rivian is 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.

We are seeking Machine Learning Engineers to help us train and deploy models used for decision-making aspects of the Rivian Autonomy stack. Real world driving is complex and requires reasoning accounting for multi-modal and probabilistic future possibilities. We use Machine Learning with millions of miles of driving data to power these workflows and are looking for an ML engineer who will lead and develop the AI strategy across a variety of projects. Most importantly, your work will have a critical impact on the daily experience and safety of our customers, which is critical to the mission at Rivian.

If you are passionate about applying Machine Learning and data mining to the driving domain and shipping improvements to our customers, we would like to talk with you!

• Examining all aspects of successful model design from data and supervision quality to model design and validation strategy.
• Taking charge of optimizing, supervising, and enhancing on-road performance for models moving towards production during the development phase.
• Recognized as a key technical authority within the department, offering guidance on current and future technology decisions.
• Possessing an in-depth grasp of the business and operational implications of various technology tradeoffs, effectively balancing them according to the company's needs.
• Empowering fellow engineers by crafting easily extendable and collaborative designs and code.
• Displaying the ability to influence and foster consensus, even during challenging technical discussions.

• M.S. or Ph.D. in Machine Learning or a related field
• 6+ years of experience working on production ML systems.
• Expert level knowledge and experience in Python and PyTorch or TensorFlow
• Solid understanding of state-of-the-art models and approaches or perception, prediction, or planning in the self-driving space.
• Capable of working in a fast-paced development environment
• Good team player with excellent communication skills that can build team consensus.
• Passionately motivated to take ideas from development validation to a verified product
• Self-motivated: Demonstrated ability to set direction and guide the team towards it
• Hands-on approach: Proactively identifies and fills in gaps where needed.
• Good understanding of linear algebra, geometry, algorithms, and data structures
• Experience with Automotive Self-Driving or similarly complex Robotics Systems.

Salary Range for California Based Applicants: $228,000.00 - $285,000.00 (actual compensation will be determined based on experience, location, and other factors permitted by law).

Benefits Summary : Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment.

Equal Opportunity

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 at .