ByteDance
Research Engineer, Data Lake Infrastructure & Data Analytics Graduate (AML-Ark-US) - 2027 Start (PhD)
Seattle, Washington · 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 model and agent logs into insights for improving AI systems.
What you'll do
- Build and maintain the data lake, optimizing storage design, 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 on continuous system improvement.
What they ask for
- Completing or recently completed a PhD 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.
Nice to have
- Understanding of query engine and lakehouse internals, including columnar storage and query optimization.
- Experience with streaming pipelines or OLAP systems, LLM or agent log analysis, or cloud-native infrastructure and performance tuning at scale.
Tools
SQL
AI focus
Supports model and agent development by analyzing their logs and traces, extracting quality signals and insights, and enabling data-driven improvement.
Model-written summary · the original posting is authoritative