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

What you'll do

• Design and maintain data lake storage, query performance, and cost efficiency.
• Develop batch and streaming pipelines that convert model and agent logs into analysis-ready datasets.
• Build analytics and metrics platforms, maintain data quality and governance, and support continuous system improvement.

What they ask for

• Currently pursuing a bachelor's degree 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, building analytics, and enabling data-driven system improvement.