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: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
