Staff Machine Learning Engineer- Large Driving Model (LDM), 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 a Staff Machine Learning Engineer to play a foundational role in building and deploying our next-generation Large Driving Model (LDM) for the Rivian Autonomy stack. To solve this, we are leveraging massive-scale Machine Learning powered by millions of miles of driving data.

In this highly impactful role, you will own a full vertical of the LDM lifecycle, from large-scale data curation and post-training pipelines through to rigorous evaluation to implement and perfect specific, advanced driving capabilities. As a Staff Engineer, you will lead the AI strategy for these capabilities, serving as a primary technical authority. Your work will directly translate to the daily experience, comfort, and safety of our customers, which is critical to the core mission at Rivian.

If you are passionate about pushing the boundaries of generative and foundation models in the physical world, shipping cutting-edge improvements to customers, and driving technical consensus across a high-performing team, we want to talk to you.

• End-to-End Vertical Ownership: Spearhead the development of specific advanced driving capabilities by owning the full lifecycle within the Large Driving Model (LDM), including targeted data curation, post-training alignment, and rigorous evaluation pipelines.
• Model & System Design: Examine and optimize all aspects of successful model design, ensuring high-quality supervision, robust validation strategies, and scalable architectures capable of bridging the gap between offline LDM training and on-road performance.
• Technical Leadership: Act as a recognized technical authority within the Autonomy department, offering definitive guidance on current and future technology decisions, model architectures, and data strategies.
• Strategic Tradeoffs: Possess an in-depth grasp of the business, safety, and operational implications of various technology tradeoffs, effectively balancing them according to the company's timeline and product needs.
• Engineering Excellence: Empower fellow engineers by architecting scalable, easily extendable, and collaborative ML systems and codebases. Establish best practices for the broader LDM team.
• Cross-Functional Alignment: Display the ability to influence technical roadmaps and foster consensus across perception, planning, and platform teams, even during challenging technical discussions.
• Production Focus: Take charge of deploying, supervising, and enhancing the real-world, on-road performance of your models as they transition from the development phase into customer vehicles.

• M.S. or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field.
• 7+ years of industry experience working on complex, production-grade Machine Learning systems, with a track record of operating at a Staff or Lead level.
• Expert-level knowledge and hands-on experience with Python and PyTorch. Experience with large-scale distributed training frameworks is highly preferred.
• Deep expertise in state-of-the-art foundation models, post-training paradigms (fine-tuning, alignment), and approaches for perception, prediction, or planning in the autonomous driving or robotics space.
• Proven ability to own full ML data verticals, demonstrating mastery over data curation, synthetic data generation, and building robust evaluation frameworks for complex behavioral models.
• Solid foundational understanding of linear algebra, geometry, optimization, algorithms, and data structures.
• Exceptional communication skills with a demonstrated ability to set technical direction, guide the team toward it, and build consensus in a fast-paced environment.
• Passionately motivated to take ambiguous, complex ideas from development and validation all the way to a verified, shipping product.
• Hands-on approach: Proactively identifies systemic gaps, writes critical path code, and fills in technical voids where needed.
• Prior experience with Automotive Self-Driving stacks or similarly complex, safety-critical Robotics Systems.

The salary range for this role is $209,800.00 - $285,000.00 for California based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

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  View email address on ev.careers .

Candidate Data Privacy and Technology

Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.

Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. 

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.

Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.

Please note that we are currently not accepting applications from third party application services.