ML Engineer, Autonomous Driving Systems (Production)

Waymo LLC; Mountain View (CA); Presencial; USD 175.000 - 215.000; Jornada completa

Descripción de la vacante

Waymo LLC is seeking an Engineer in Driver Refinement and Validation to bridge cutting-edge machine learning with real-world vehicle performance. You will develop ML-powered systems, refine perception and planning models, and ensure safe, predictable autonomous vehicle behavior in production settings.

The role requires a strong background in ML, CS, robotics, or related fields, with hands-on experience deploying ML systems and programming in Python/C++.

Formación

• MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience.
• 3+ years of industry experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments.
• Proficient programming skills in Python and/or C++, with strong analytical and debugging abilities.
• Expertise with modern deep learning frameworks, such as JAX or PyTorch.

Responsabilidades

• Develop next-generation ML-powered systems to enhance the capabilities of the ML driver and accelerate scaling of Waymo’s business.
• Fine-tune, adapt, and benchmark state-of-the-art generative models to improve 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.

Conocimientos

Python

C++

Deep learning frameworks

Debugging & analysis

Educación

MS in CS/ML/Robotics or equivalent

Descripción del empleo

Waymo LLC is seeking an Engineer in Driver Refinement and Validation to bridge cutting-edge machine learning with real-world vehicle performance. You will develop ML-powered systems, refine perception and planning models, and ensure safe, predictable autonomous vehicle behavior in production settings.

The role requires a strong background in ML, CS, robotics, or related fields, with hands-on experience deploying ML systems and programming in Python/C++.