ByteDance
Data Lake Infrastructure & Data Analytics Research Engineer Graduate (AML-Ark-US) - 2027 Start (PhD)
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- PhD 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 LLM and agent logs into insights for improving models, systems, and products.
What you'll do
- Build and maintain data lake storage, query performance, and cost efficiency.
- Develop batch and streaming pipelines and analytics platforms for model and agent logs.
- Own data quality and governance, partnering with algorithm teams to support continuous improvement.
What they ask for
- Completing or recently completed a PhD in Computer Science, Software Engineering, Data Science, or a related field.
- Strong fundamentals in data structures, algorithms, and distributed systems.
- Programming skills in at least one mainstream language and proficiency in SQL.
- Hands-on experience with a big data engine or lakehouse storage system.
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 traces into analytics and feedback for model improvement, system optimization, and product decisions.
Model-written summary · the original posting is authoritative