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2027 Summer Intern, MS/PhD

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2027 Summer Intern, MS/PhD in USA

  • Mountain View, CA

Responsibilities

  • Develop and scale ML pipelines for processing telemetry data and discovering rare driving interactions.
  • Benchmark and validate candidate findings to separate meaningful patterns from noise.
  • Integrate discovered patterns into concrete, testable artifacts that verify system improvements.

Requirements

  • Currently pursuing a Master’s or PhD in Computer Science, Software Engineering, or a related technical field.
  • Strong software engineering skills in Python and/or C++, including 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.
  • Foundational understanding of applied machine learning, statistics, and evaluation methodology, including areas such as clustering, anomaly detection, ranking, or metric design.
  • Preferred: experience with distributed compute systems, data processing frameworks, or large-scale data lakes such as Apache Spark, Beam/Dataflow, Ray, or equivalent systems.
  • Preferred: experience with unsupervised learning, outlier or anomaly detection, multimodal embeddings, or LLM/VLM-based evaluation and data filtering.
  • Preferred: experience turning ambiguous, open-ended problems into practical working software systems.
  • Preferred: research or project experience in autonomous driving, robotics, or spatiotemporal data analysis.

Benefits

  • Hybrid onsite internship position.
  • Competitive compensation package with a housing or relocation bonus if applicable.
  • Medical, dental, and vision insurance, subject to eligibility requirements.
  • Fun intern events and networking opportunities.
  • Onsite meals, snacks, Google shuttles, and gym access if the internship is onsite.
  • Applications accepted on a rolling basis until the role is filled.

Salary: Competitive

Waymo

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