Data Lake Infrastructure & Data Analytics Research Engineer Intern (AML-Ark-US) - 2027 Summer

What you'll do

• Build and maintain data lake storage, query performance, and cost efficiency.
• Develop batch and streaming pipelines that transform model and agent logs into analysis-ready datasets.
• Build analytics and metrics platforms, and own data quality and governance in partnership with algorithm teams.

What they ask for

• Currently pursuing a Bachelor's in Computer Science, Software Engineering, Data Science, or a related field.
• Solid fundamentals in data structures, algorithms, and distributed systems.
• Strong programming skills in at least one mainstream language and proficiency in SQL.
• Hands-on experience with a big data engine or lakehouse storage system; demonstrated ability through substantial projects, internships, research, or open-source work.

Nice to have

• Understanding of query engine and lakehouse internals, including columnar storage and query optimization; experience with streaming pipelines or OLAP systems.
• Experience analyzing LLM or agent logs and traces, or with cloud-native infrastructure and performance tuning at scale.

Tools

SQL

AI focus

Supports LLM and agent development by processing their logs and providing analytics and data quality feedback for continuous system improvement.