Rivian
Machine Learning/AI Engineer
Palo Alto, California, USA · Part-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($139,000) is below the Level I prevailing wage of $141,336. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
Responsibilities
- This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
- In this cross-disciplinary role, you will bridge perception model design and hardware-aware deployment, enabling efficient execution of high-performance perception algorithms across embedded compute platforms.
- You will focus on researching state of the art perception models and develop optimization pipelines for the quantized versions of these models customized to provide real-time performance and energy efficiency on next-generation autonomy hardware.
- Design and implement hardware-aware optimizations, including quantization strategies, model compression, memory-efficient representations, and operator fusion, targeted to custom accelerators Collaborate with hardware teams to co-optimize model architecture and compute pipeline under real-time constraints (latency, throughput, power).
- Partner with perception, systems, and autonomy teams to align model optimization efforts with hardware roadmap and real-world autonomy requirements.
Requirements
- Hands-on experience with quantized model deployment, ML design stacks, and code generation for embedded or heterogeneous compute systems.
Nice to have
- Knowledge of numerical precision trade-offs, quantization-aware training (QAT), and dynamic/static quantization flows.
- Familiarity with embedded real-time constraints and hardware profiling/debugging tools.
- Familiarity with rearchitecting models to best suit hardware capabilities Publication record in top-tier ML/Systems conferences (e.g., MLSys, NeurIPS, DAC, ICCAD).
Compensation
- The salary range for this role is $139,000 - $155,000 annually for Bay Area 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.
- The successful candidate may be eligible for annual performance bonus and equity awards.
Benefits
- You may also have the opportunity to participate in Rivian's 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements.
- Full-time employee coverage is effective on their first day of employment.
- Part-time employee coverage is effective the first of the month following 90 days of employment.
- More information about benefits is available at rivianbenefits.com.
- This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information.
- Role Summary We are looking for a Research Scientist with deep expertise in quantized deep learning models for hardware acceleration in autonomous systems.
Company info
- Please note that we are currently not accepting applications from third party application services.
- About Rivian Rivian is on a mission to keep the world adventurous forever.
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 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 listing is sourced directly from Rivian's careers page and normalized into a canonical job model.