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About the Role
We are seeking a Staff Machine Learning Engineer interested in the development of end-to-end models that unify perception, prediction, and planning in a single learning system. This role is ideal for someone excited by the challenge of scaling models that learn from vast sensory data to enable autonomous driving.
Responsibilities
- Guide the architecture, implementation, and deployment of the Large Driving Model (LDM).
- Support perception tasks (e.g., object detection, onboard map detection, scene understanding) and downstream decision-making and closed-loop autonomy.
- Develop technical strategy and architecture for end-to-end autonomous driving models.
- Develop multi-modal, multi-task transformer-based systems that support closed-loop autonomy.
- Build training and evaluation pipelines at scale across petabytes of real-world and simulated driving data.
- Collaborate with cross-functional teams across perception, planning, simulation, and ML infrastructure.
- Drive alignment between model capabilities and real-world deployment constraints (latency, robustness, validation).
- Publish internal technical guidance and mentor engineers across autonomy ML.
Requirements
- B.S., M.S., or Ph.D. in Computer Science, Robotics, or a related field.
- 5+ years of experience building and deploying large-scale ML systems.
- Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation.
- Strong software engineering background, with fluency in Python and C++.
- Experience training and evaluating transformer models or end-to-end autonomous agents.
- Familiarity with real-time inference systems and autonomous vehicle constraints.
- Proven leadership in driving ML projects from research to production.
Skills
- Python
- C++
- Transformer models
- End-to-end autonomous agents
- Real-time inference systems
- Foundation models
- Self-supervised learning
- World models
- Sensor fusion (LiDAR, camera, radar)
Experience Level
- 5+ years of experience
Education Level
- B.S., M.S., or Ph.D. in Computer Science, Robotics, or a related field
About the Company
- Rivian is on a mission to keep the world adventurous forever.
- 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.
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.