ML Systems Intern: Behavior Discovery for Autonomous Driving

Waymo LLC; Mountain View (CA); Hybride; USD 146 000 - 177 000; Plein temps

Avantages offerts par ce poste

Housing/relocation bonus

Medical, dental, and vision insurance

Onsite gym

Résumé du poste

Waymo LLC seeks graduate students for hybrid, onsite internship roles in Mountain View, CA, focusing on end-to-end ML data workflows. You will develop and scale ML pipelines to process telemetry data, benchmark findings, and integrate artifacts to validate system improvements.

The program emphasizes learning and practical software delivery, with opportunities to work on cutting-edge autonomous driving tech.

Qualifications

• Currently pursuing graduate degree (Master's or PhD) in Computer Science, Software Engineering or a related technical field.
• Strong software engineering skills in Python and/or C++, with experience writing clean, maintainable, and well-tested code.
• Demonstrated experience building and operating data or ML pipelines on large-scale datasets (beyond single-machine or notebook prototypes).
• Solid foundational understanding of applied machine learning, statistics, and evaluation methodology (e.g., clustering, anomaly detection, ranking, or metric design).

Responsabilités

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

Connaissances

Python

C++

Data pipelines

ML knowledge

Statistics

Formation

Master's or PhD in CS or related field

Outils

Apache Spark

Beam/Dataflow

Ray

Description du poste

Waymo LLC seeks graduate students for hybrid, onsite internship roles in Mountain View, CA, focusing on end-to-end ML data workflows. You will develop and scale ML pipelines to process telemetry data, benchmark findings, and integrate artifacts to validate system improvements.

The program emphasizes learning and practical software delivery, with opportunities to work on cutting-edge autonomous driving tech.