2027 Summer Intern, MS/PhD, ML Systems & Behavior Discovery
Core
Develop and scale ML pipelines to process telemetry data and discover rare driving interactions for Waymo's autonomous driving system.
Role type
Summer Intern, ML Systems & Behavior Discovery
Builds
ML pipelines for telemetry data processing and pattern discovery
Domain
Autonomous driving, machine learning, data engineering
Deliverable
production ML models
Required skills
Python, C++, large-scale data pipeline development, applied machine learning, statistics, evaluation methodology
Preferred skills
distributed compute systems, data processing frameworks, unsupervised learning, anomaly detection, LLM/VLM-based evaluation, autonomous driving research
Technologies
Apache Spark, Beam/Dataflow, Ray
Responsibilities
Develop and scale ML pipelines to process telemetry data; Benchmark and validate candidate findings; Integrate pipelines to turn discovered patterns into testable artifacts
Seniority
Intern
