Rivian is looking to build systems that understand the world and make decisions in context using data from the Rivian fleet, aiming to improve the daily experience and safety of their customers.
Requirements
- Expert level knowledge and experience 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.
- Good understanding of linear algebra, geometry, algorithms, and data structures
- Experience with Automotive Self-Driving or similarly complex Robotics Systems.
- 5+ years of experience working on production ML systems.
Responsibilities
- Examining novel algorithms from a research standpoint, delving into prototyping, validating, and iteratively refining them.
- 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.
- 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.
- Using Machine Learning with millions of miles of driving data to power these workflows.
- Lead and develop the AI strategy across a variety of projects.
Other
- M.S. or Ph.D. in Machine Learning or a related field
- Possessing an in-depth grasp of the business and operational implications of various technology tradeoffs, effectively balancing them according to the company's needs.
- Capable of working in a fast-paced development environment
- Good team player with great 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.
