Staff Perception ML Engineer – Autonomous Driving

Waymo; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Waymo in San Francisco is seeking a Machine Learning Engineer to work on the perception systems of autonomous vehicles. The role requires strong expertise in Machine Learning, Computer Vision, and proficiency in Python, with desirable experience in frameworks like PyTorch or JAX.

The successful candidate will analyze behavior of ML systems, develop methods for monitoring in production, and collaborate on innovative projects. This hybrid position allows flexibility while leading impactful work in the AI sector.

Qualifications

• 5+ years of experience in Machine Learning and Computer Vision.
• Experience with Python and ML frameworks like PyTorch or JAX.
• Desirable: Publications at top-tier conferences.

Responsibilities

• Build the system that learns spatial-temporal representations for autonomous vehicles.
• Collaborate with downstream teams for optimization and integration.
• Conduct research to solve real-world problems with large-scale data.
• Monitor ML systems in production and develop analysis tools.

Skills

Machine Learning

Computer Vision

Python

ML frameworks (PyTorch or JAX)

C++ (desirable)

Education

Bachelors in Computer Science or similar

MS or PhD in relevant fields (desirable)

Job description

Waymo in San Francisco is seeking a Machine Learning Engineer to work on the perception systems of autonomous vehicles. The role requires strong expertise in Machine Learning, Computer Vision, and proficiency in Python, with desirable experience in frameworks like PyTorch or JAX.

The successful candidate will analyze behavior of ML systems, develop methods for monitoring in production, and collaborate on innovative projects. This hybrid position allows flexibility while leading impactful work in the AI sector.