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.
Role Summary
Responsibilities
- 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.
Qualifications
- 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 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.
Pay Disclosure
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 candidateaccommodations@rivian.com.
Candidate Data Privacy
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.
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