Data Lake Infrastructure & Data Analytics Research Engineer Graduate (AML-Ark-US) - 2027 Start

ByteDance
San Jose
Workplace: OnsiteInternshipFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Data quality","Data governance","Problem-solving"]

Design and build the data lake and analytics infrastructure that powers large language model (LLM) and AI agent development. Create scalable batch and streaming pipelines to transform invocation logs into analysis-ready datasets, and develop metrics and analytics platforms for fast, actionable insights. Ensure data quality and governance while partnering with algorithm teams to run an ongoing data flywheel for continuous system improvement and product decisions.

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ByteDance
ByteDance
19 hours ago

Data Lake Infrastructure & Data Analytics Research Engineer Graduate (AML-Ark-US) - 2027 Start

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Design and build the data lake and analytics infrastructure that powers large language model (LLM) and AI agent development. Create scalable batch and streaming pipelines to transform invocation logs into analysis-ready datasets, and develop metrics and analytics platforms for fast, actionable insights. Ensure data quality and governance while partnering with algorithm teams to run an ongoing data flywheel for continuous system improvement and product decisions.
Location: San Jose
Workplace: Onsite
Employment Type: Internship
Job Function: Data Analytics & Business Intelligence
Seniority: Intern level

Key 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 to convert raw model and agent logs into analysis-ready datasets.
  • •Build analytics and metrics platforms enabling algorithm and product teams to find actionable insights quickly.
  • •Own data quality and governance and partner with algorithm teams to support a continuous data flywheel behind improving systems.

Key Requirements

  • •Completing or recently completed a Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or a related field.
  • •Strong 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 via substantial projects, internships, research, or open-source work.
Experience:AIMachine learningLLMData analyticsDistributed systems
Education:Bachelor's in Computer Science, Software Engineering, Data Science, or a related field
Skills:Data qualityData governanceProblem-solving
Tech Stack:SQLData structuresAlgorithmsDistributed systemsBig dataLakehouse storageColumnar storageQuery optimizationBatch pipelinesStreaming pipelinesOLAPCloud-native infrastructure

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn