ByteDance
Data Lake Infrastructure & Data Analytics Research Engineer Graduate (AML-Ark-US) - 2027 Start
Seattle, Washington · Full-time · Posted Oct 28, 2026
- Experience
- No years specified.
- Education
- Completing or recently completed a Bachelor's/Master's in Computer Science, Software Engineering, Data Science, or a related field.
About the job
Build and operate data lake, pipeline, and analytics infrastructure that turns LLM and agent logs into insights for model development and product decisions.
What you'll do
- Build and maintain data lake storage, query performance, and cost efficiency.
- Develop batch and streaming pipelines to create analysis-ready datasets from model and agent logs.
- Build analytics and metrics platforms, maintain data quality and governance, and support continuous improvement with algorithm teams.
What they ask for
- Completing or recently completed a Bachelor's/Master'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; substantial project, internship, 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 model and agent logs, providing analytics and metrics, and enabling data-driven system improvement.
Model-written summary · the original posting is authoritative