ML Engineer for Autonomous Driving Systems & Scale

Latitude; Mountain View (CA); Hybrid; USD 175,000 - 215,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive plan

Generous benefits program

Job summary

Waymo seeks an experienced ML/CV engineer to own end-to-end driving behavior tasks within the Waymo Driver program. You will develop scalable ML methods, analyze real-world system behavior, and collaborate with upstream and downstream teams to improve model performance.

In this hybrid role, you will report to a Technical Lead Manager. Requires a CS degree and 3+ years in ML/CV, plus Python or C++, and PyTorch or JAX.

Qualifications

• Bachelor's in Computer Science or a similar discipline, or an equivalent amount of deep learning experience.
• 3+ years experience in Machine Learning and/or Computer Vision.
• Experience with Python or C++.
• Experience with ML frameworks like PyTorch or JAX.

Responsibilities

• Own tasks in the ML Driver, take responsibility for task performance, create ML methods and recipes to scale and improve tasks.
• Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions.
• Develop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system.
• Monitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging tooling.
• Develop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned models

Skills

Python or C++

ML/Computer Vision experience

PyTorch or JAX

Education

Bachelor's degree in Computer Science or equivalent

Job description

Waymo seeks an experienced ML/CV engineer to own end-to-end driving behavior tasks within the Waymo Driver program. You will develop scalable ML methods, analyze real-world system behavior, and collaborate with upstream and downstream teams to improve model performance.

In this hybrid role, you will report to a Technical Lead Manager. Requires a CS degree and 3+ years in ML/CV, plus Python or C++, and PyTorch or JAX.