Autonomous Driving ML Data Pipeline Intern (MS/PhD)

Waymo LLC; Mountain View (CA); Hybrid; USD 96,000 - 117,000; Full time

Benefits offered by this job

Housing/relocation bonus

Medical, dental, and vision insurance

Intern events

Google shuttles

Onsite gym

Free meals

Job summary

Waymo LLC in Mountain View, CA offers a hybrid onsite internship to develop and scale ML pipelines processing telemetry data, with the goal of discovering rare driving interactions and improving the Waymo Driver. You will work on end-to-end data tasks from data mining to model eval, collaborating with researchers and engineers.

We expect a graduate student pursuing a Masters or PhD in CS or Software Engineering, strong Python/C++ skills, and experience with large-scale ML pipelines.

Qualifications

• Currently pursuing graduate degree in Computer Science, Software Engineering or related field.
• Strong software engineering skills in Python and/or C++, with clean, maintainable, and well-tested code.
• Demonstrated experience building and operating data or ML pipelines on large-scale datasets.

Responsibilities

• Develop and scale ML pipelines to process telemetry data and discover rare driving interactions.
• Benchmark and validate findings to separate meaningful patterns from noise.
• Integrate pipelines to turn patterns into concrete, testable artifacts to verify system improvements.

Skills

Python

C++

Software engineering

Testing

ML pipelines

Education

Master's or PhD in CS/Software Engineering

Tools

Apache Spark

Beam/Dataflow

Ray

Job description

Waymo LLC in Mountain View, CA offers a hybrid onsite internship to develop and scale ML pipelines processing telemetry data, with the goal of discovering rare driving interactions and improving the Waymo Driver. You will work on end-to-end data tasks from data mining to model eval, collaborating with researchers and engineers.

We expect a graduate student pursuing a Masters or PhD in CS or Software Engineering, strong Python/C++ skills, and experience with large-scale ML pipelines.