2027 Summer Intern, MS/PhD, ML Systems & Behavior Discovery

📋 Description

• 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

🎯 Requirements

• Currently pursuing graduate degree (Master's or PhD) in Computer Science, Software Engineering or a
• Strong software engineering skills in Python and/or C++, with experience writing clean
• Demonstrated experience building and operating data or ML pipelines on large-scale datasets (beyond
• Solid foundational understanding of applied machine learning, statistics, and evaluation
• Experience working with distributed compute systems, data processing frameworks, or large-scale
• Experience with unsupervised learning, outlier/anomaly detection, multimodal embeddings, or

🎁 Benefits

• Competitive compensation packages with a housing/relocation bonus (if applicable)
• Medical, dental, and vision insurance
• Fun intern events and networking opportunities
• Free breakfast, lunch, dinner, and snacks
• Free access to Google shuttles
• Onsite gym