Описание:
Rivian develops emissions-free Electric Adventure Vehicles and advanced machine learning algorithms for safety-critical self-driving features.
Задачи:
- Guide the architecture, implementation, and deployment of foundation models that act as learned world models
- Develop technical strategy and architecture for foundation models as unified world 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, including latency, robustness, and validation
- Publish internal technical guidance and mentor engineers across autonomy ML
Требования:
- B.S., M.S., or Ph.D. in Computer Science, Robotics, or a related field
- 7+ 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
- Nice to have: prior work on end-to-end autonomous driving architectures, including imitation learning, behavior cloning, or world models
- experience with sensor fusion using LiDAR, camera, or radar in a learned model
Условия:
No conditions specified
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machine learning engineer for autonomous driving in London employer: Rivian
Rivian is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for adventurous spirits who are passionate about electric vehicles and the outdoors. Employees benefit from comprehensive health insurance, paid time off, and opportunities for professional growth, all while contributing to a mission that prioritises sustainability and innovation. Located in Duncan, SC, this role offers the chance to work hands-on with cutting-edge technology in a supportive environment that values teamwork and personal development.
