ML Engineer, Autonomous Driving – Equity + Bonus

Waymo LLC; United States; À distance; USD 175 000 - 215 000; Plein temps

Avantages offerts par ce poste

Discretionary annual bonus

Equity incentive plan

Generous benefits

Résumé du poste

Waymo LLC is seeking an Engineer in Driver Refinement and Validation (DRV) to bridge cutting-edge machine learning and real-world vehicle performance. You will engineer validation and onboard systems that ensure the Waymo Driver consistently executes safe and predictable maneuvers on complex roads.

The role emphasizes developing ML-powered systems, evaluating generative models, and delivering robust code in production environments, collaborating with top engineers and product managers to improve

Qualifications

• Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments.
• Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities.
• Expertise with modern deep learning frameworks, for example JAX or PyTorch.

Responsabilités

• Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo’s business.
• Fine-tune, adapt, and benchmark state-of-the-art generative models to improve autonomous vehicle perception, motion prediction, and trajectory planning.
• Write high-quality, scalable, and thoroughly tested code to bring cutting-edge ML into production.
• Partner with world-class engineers and product managers to deliver safe and smooth autonomous vehicle behaviors.

Formation

MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience

Description du poste

Waymo LLC is seeking an Engineer in Driver Refinement and Validation (DRV) to bridge cutting-edge machine learning and real-world vehicle performance. You will engineer validation and onboard systems that ensure the Waymo Driver consistently executes safe and predictable maneuvers on complex roads.

The role emphasizes developing ML-powered systems, evaluating generative models, and delivering robust code in production environments, collaborating with top engineers and product managers to improve