Data Lake & ML Analytics Research Engineer (Graduate)

ByteDance; Seattle (WA); On-site; USD 140,000 - 180,000; Full time

Job summary

ByteDance in Seattle is seeking engineers and researchers for the Applied Machine Learning Ark team to build MaaS platforms powering LLM services and analytics.

You'll work on data lakes, batch/streaming pipelines, and end-to-end analytics for model and agent logs, collaborating with cross-functional teams in a fast-growing tech company.

We welcome graduates and experienced candidates who can contribute to data quality, governance, and scalable systems while solving challenging AI problems.

Qualifications

• Bachelor's or Master's in CS/SE/Data Science or related field.
• Solid fundamentals in data structures, algorithms, and distributed systems.
• Strong programming skills in at least one mainstream language, plus 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.

Responsibilities

• Build and maintain the data lake powering model and agent development, including storage design, query performance, and cost efficiency.
• Develop large-scale batch and streaming pipelines turning raw logs into analysis-ready datasets.
• Build analytics platforms to let teams find actionable insights quickly.
• Own data quality and governance, partnering with algorithm teams to support the data flywheel behind improving systems.

Skills

Programming skills

SQL proficiency

Data structures & algorithms

Distributed systems

Big data / lakehouse

Open-source experience

Education

Bachelor's or Master's in CS/SE/Data Science

Tools

Spark

Lakehouse storage

Job description

ByteDance in Seattle is seeking engineers and researchers for the Applied Machine Learning Ark team to build MaaS platforms powering LLM services and analytics.

You'll work on data lakes, batch/streaming pipelines, and end-to-end analytics for model and agent logs, collaborating with cross-functional teams in a fast-growing tech company.

We welcome graduates and experienced candidates who can contribute to data quality, governance, and scalable systems while solving challenging AI problems.