Data Lake & Analytics Engineer Intern

ByteDance; Seattle (WA); On-site; USD 28,000 - 41,000; Part time

Job summary

ByteDance's Applied Machine Learning Ark team is seeking interns to build data pipelines, data lakes, and MaaS platforms for LLM services across US and international markets. The US team drives design, development, and operation of MaaS solutions spanning text and multimodal LLM algorithms and analytics.

You will gain hands-on experience in end-to-end systems, including log analytics pipelines, model training/fine-tuning/inference frameworks, prompt engineering, and intelligent agents.

Qualifications

• Currently pursuing 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, 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 that powers model and agent development, including storage design, query performance, and cost efficiency.
• Develop large-scale batch and streaming pipelines that turn raw model and agent logs into analysis-ready datasets.
• Build analytics and metrics platforms that let algorithm and product teams find actionable insights quickly.
• Own data quality and governance, and partner with algorithm teams to support the data flywheel behind continuously improving systems.

Skills

Programming

SQL

Data structures

Algorithms

Distributed systems

Big data

Education

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

Job description

ByteDance's Applied Machine Learning Ark team is seeking interns to build data pipelines, data lakes, and MaaS platforms for LLM services across US and international markets. The US team drives design, development, and operation of MaaS solutions spanning text and multimodal LLM algorithms and analytics.

You will gain hands-on experience in end-to-end systems, including log analytics pipelines, model training/fine-tuning/inference frameworks, prompt engineering, and intelligent agents.