> Markdown version of [/jobs/ext/1991012-staff-machine-learning-engineer-end-to-end-autonomy](https://www.wearedevelopers.com/jobs/ext/1991012-staff-machine-learning-engineer-end-to-end-autonomy). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Machine Learning Engineer, End-to-End Autonomy - **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, Low Latency, Machine Learning Operations - **Published:** August 8, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/staff-machine-learning-engineer-end-to-end-autonomy-palo-alto-ca-usa-58850474 ## About the Role will with deployment constraints (latency, robustness, validation) * Publish internal technical guidance and mentor autonomy ML engineers Tasks * B.S., M.S., or Ph.D. in Computer Science, Robotics, or 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; 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 Key requirements * medical/Rx, dental and vision insurance * international or domestic partner coverage * children coverage up to age 26 * coverage starts day one * equal opportunity employer * disability accommodations available ## Description Experteer Overview As a Staff ML Engineer on the Autonomy team, you will help shape the Large Driving Model (LDM) that unifies perception, prediction, and planning for autonomous driving. You will drive end-to-end architecture, multi-modal transformer systems, and scale-up training/evaluation pipelines across real-world and simulated data. You'll bridge research and production, balancing capabilities with deployment constraints like latency and robustness. This role offers impact on a mission-driven company that scales advanced autonomy while emphasizing safety and real-world deployment. Compensation / Benefits * Design technical strategy and architecture for end-to-end autonomous driving models * Develop multi-modal, multi-task transformer-based systems for closed-loop autonomy * Build and optimize training/evaluation pipelines at petabyte scale using real-world and simulated data * Collaborate with perception, planning, simulation, and ML infrastructure teams * Align model capabilities with deployment constraints (latency, robustness, validation) * Publish internal technical guidance and mentor autonomy ML engineers Tasks * B.S., M.S., or Ph.D. in Computer Science, Robotics, or 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; 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 Key requirements * medical/Rx, dental and vision insurance * international or domestic partner coverage * children coverage up to age 26 * coverage starts day one * equal opportunity employer * disability accommodations available ## Related Videos - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)