Data Lake & ML Analytics Engineer Intern

Pangle; San Jose, Northern (CA, KY); Hybrid; USD 18,000 - 26,000; Part time

Job summary

ByteDance's Applied ML Ark team in San Jose offers an internship focused on building and operating MaaS-style LLM service platforms. You will work across end-to-end data pipelines, large-scale analytics, and governance to drive model improvement and product decisions.

The program emphasizes hands-on experience and real-world challenges for growth. We seek students pursuing CS/SE/Data Science with solid fundamentals, distributed systems knowledge, and hands-on ML/logging experience.

Qualifications

• Currently pursuing a Bachelor's/Master's in CS, SE, DS, or related field.
• Strong fundamentals in data structures, algorithms, and distributed systems.
• Hands-on programming in at least one mainstream language and SQL proficiency.
• Experience with big data engines or lakehouse storage.
• Demonstrated through 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 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

Data structures

Algorithms

Distributed systems

Programming language proficiency

SQL

Education

Bachelor's/Master's in CS/SE/DS

Tools

Big data engine

Lakehouse storage

Cloud infrastructure

Job description

ByteDance's Applied ML Ark team in San Jose offers an internship focused on building and operating MaaS-style LLM service platforms. You will work across end-to-end data pipelines, large-scale analytics, and governance to drive model improvement and product decisions.

The program emphasizes hands-on experience and real-world challenges for growth. We seek students pursuing CS/SE/Data Science with solid fundamentals, distributed systems knowledge, and hands-on ML/logging experience.