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Autonomous Driving Technology Specialist
1 month ago
Waymo is a leading autonomous driving technology company with a mission to be the most trusted driver. Our team has made incredible progress in applying state-of-the-art techniques to the driving problem, and we are now looking for experts in scaling ML model usage to the next level.
We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of next-gen generative models for autonomous driving. The ideal candidate will have a strong background in deep learning and generative models, as well as experience with LLMs, Vision LMs, NLP, and parameter efficient fine-tuning.
The successful candidate will design and implement novel ways to inspect, understand, filter, improve, and synthesize data, and collaborate with a team of researchers and engineers to apply advanced generative models to production simulators or onboard use cases.
We offer a competitive salary range of $192,000—$243,000 USD, as well as a discretionary annual bonus program, equity incentive plan, and generous Company benefits program.
Key Responsibilities:
- Design and implement next-gen generative models to improve autonomous driving
- Follow and promote literature in the generative modeling and autonomous vehicle space
- Develop novel ways to inspect, understand, filter, improve, and synthesize data
- Collaborate with a team of researchers and engineers to apply advanced generative models to production simulators or onboard use cases
Requirements:
- PhD degree in Computer Science, Machine Learning, Robotics, or a similar discipline, or an equivalent amount of deep learning experience
- Experience with Deep Learning and Generative Models
- Coding skills, specifically Python/C++
We prefer candidates with 3+ years of deep learning experience, 5+ publications on top-tier conferences, and experience in generative models for domains such as images, videos, 3D, human animation, traffic, simulation using techniques such as diffusion or autoregressive models.
