1 day ago
Base Salary
$210k - $285k/yr
Responsibilities
- Own the end-to-end lifecycle of specific advanced driving capabilities within the Large Driving Model, including data curation, post-training alignment, and evaluation.
- Design and optimize model architectures, supervision, validation strategies, and scalable systems connecting offline training to on-road performance.
- Serve as a technical authority for autonomy model architectures, data strategies, and technology decisions.
- Lead strategic tradeoffs involving business, safety, operational, timeline, and product considerations.
- Architect scalable and extensible machine learning systems and establish engineering best practices.
- Influence roadmaps and build technical consensus across perception, planning, and platform teams.
- Deploy, monitor, and improve model performance as models transition into customer vehicles.
- Write critical-path code and address systemic engineering gaps through hands-on development.
Requirements
- M.S. or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field.
- At least 7 years of industry experience working on complex, production-grade machine learning systems, with experience 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 foundation models, fine-tuning, alignment, and perception, prediction, or planning for autonomous driving or robotics.
- Experience owning machine learning data verticals, including data curation, synthetic data generation, and evaluation frameworks for behavioral models.
- Foundational knowledge of linear algebra, geometry, optimization, algorithms, and data structures.
- Exceptional communication, technical-direction, consensus-building, and cross-functional collaboration skills.
- Ability to take ambiguous concepts through development and validation to a verified, shipping product.
- Hands-on engineering approach, including writing critical-path code and resolving technical gaps.
- Prior experience with automotive self-driving stacks or similarly complex, safety-critical robotics systems.
Benefits
- Comprehensive benefits are available to full-time and part-time employees and eligible spouses or domestic partners and children up to age 26.
- Benefits include paid vacation, paid sick leave, life, medical, dental, vision, short-term disability, and long-term disability insurance for eligible employees.
- Eligible employees may participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program.
- Full-time employee coverage is effective on the first day of employment; part-time employee coverage is effective the first of the month following 90 days of employment.
- The role may include an annual performance bonus and equity awards, which are separate from the stated salary range.
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.