ByteDance
Data Lake Infrastructure & Data Analytics Research Engineer Graduate (AML-Ark-US) - 2027 Start
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- No specific years stated; candidates should be completing or have recently completed a degree and demonstrate ability through substantial projects, internships, research, or open-source work.
- Education
- Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or a related field.
About the job
Builds and operates data lake, pipeline, and analytics infrastructure that turns model and agent logs into insights for 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, and own data quality and governance in partnership with algorithm teams.
What they ask for
- Completing or recently completed a Bachelor's or 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; 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 model and agent development by processing LLM and agent logs, extracting insights, and enabling continuous data-driven improvement.
Model-written summary · the original posting is authoritative