Perception Evaluation Intern - ML Signals (Hybrid)

We Love AI Jobs; Mountain View (CA); Hybrid; USD 96,000 - 117,000; Full time

Benefits offered by this job

Hybrid internship

Job summary

Waymo is seeking a highly motivated intern to improve evaluation workflows for its perception system. You will develop evaluation methods, integrate new signals into model launch reviews, and measure evaluation quality across large-scale datasets.

The role emphasizes Python/C++ coding, statistical analysis, and collaboration with ML and infra engineers. The internship is hybrid and based in Mountain View, CA.

Qualifications

• Proficiency with Python or C++ and navigating large codebases.
• Experience with building and/or evaluating machine learning models.
• Experience with data analysis and statistical evaluation.

Responsibilities

• Improve signal quality in large-scale perception evaluation workflows using generative AI.
• Develop frameworks and methods for evaluating multi-task perception models.
• Integrate new evaluation signals into model launches and assess precision, recall, and reliability.

Skills

Python

C++

machine-learning evaluation

statistical analysis

perception models

data pipelines

large-scale datasets

precision and recall

Education

Masters or PhD in progress

Job description

Waymo is seeking a highly motivated intern to improve evaluation workflows for its perception system. You will develop evaluation methods, integrate new signals into model launch reviews, and measure evaluation quality across large-scale datasets.

The role emphasizes Python/C++ coding, statistical analysis, and collaboration with ML and infra engineers. The internship is hybrid and based in Mountain View, CA.