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

What you'll do

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

What they ask for

• 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 writing clean, maintainable, well-tested code.
• 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.

Nice to have

• Experience with distributed compute systems, data processing frameworks, or large-scale data lakes.
• Experience in unsupervised learning, anomaly detection, multimodal embeddings, LLM/VLM-based evaluation or filtering, or autonomous driving, robotics, or spatial-temporal data analysis.

Pay

$70 USD per hour (base salary); $85 USD per hour (base salary)

Tools

Python, C++, Apache Spark, Beam/Dataflow, Ray

AI focus

Uses machine learning to mine telemetry for rare driving interactions, evaluate patterns, and produce testable artifacts for improving autonomous driving systems.