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# Staff Machine Learning Engineer,Perception

- **Company:** Rivian
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Python (Programming Language), Machine Learning, Software Engineering, Large Language Models, Multi-Agent Systems, Information Technology, Machine Learning Operations, Unsupervised Learning
- **Published:** June 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=67de5511d4910037

## About the Role

Do you have experience in Unsupervised learning?, Do you have a Bachelor's degree?, * 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

## Description

In this role you will be a member of the Perception team at Rivian, which develops machine learning algorithms that directly impact safety critical self-driving features for the Rivian Autonomy Platform. You will be responsible for design, implementation, testing, deployment, and maintenance of onboard Perception functionality.

 * Be independently responsible for the entire lifecycle of projects or features including engineering design, development, deployment, testing and maintenance.
 * Develop production ready software to run on our vehicles and in the cloud.
 * Develop perception capabilities using tools from machine learning, state estimation, and
robotics.

 * Develop tools and processes to evaluate and measure the performance of the perception
system.

 * Work with the broader team to ensure that our Perception outputs are integrated to deliver a
great experience to customers.


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