Research Intern (AML) - 2026 Start (PhD)

ByteDance
San Jose
Workplace: OnsiteInternshipFunction: Research & Scientific (R&D)Education: phdSkills: ["Learning","Communication","Self-motivated","Responsibility","Teamwork"]

Join an Applied Machine Learning team responsible for end-to-end ML lifecycle work—ideation, research, building, deploying, and iterating on models that power recommendations, ads, and search for products like TikTok and Douyin. You’ll help scale centralized GPU computing by improving resource scheduling and operating the GPU pool, and use GPU data collection and mining to manage group-wide capacity and efficiency. Internship is for 2026.

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FursaFursa
ByteDance
ByteDance
1 month ago

Research Intern (AML) - 2026 Start (PhD)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Join an Applied Machine Learning team responsible for end-to-end ML lifecycle work—ideation, research, building, deploying, and iterating on models that power recommendations, ads, and search for products like TikTok and Douyin. You’ll help scale centralized GPU computing by improving resource scheduling and operating the GPU pool, and use GPU data collection and mining to manage group-wide capacity and efficiency. Internship is for 2026.
Location: San Jose
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Build and operate the centralized GPU computing pool, improving AI compute capacity through optimized resource scheduling strategies.
  • •Collect, process, and mine GPU data across the group to drive data-driven insights for group-wide GPU resource management, including budgeting, delivery, resource efficiency optimization, and secondary utilization (reuse).

Key Requirements

  • •Currently pursuing a PhD in Computer Science or a related field.
  • •Proficiency in at least one programming language: Python, Golang, or C++.
  • •Experience with storage and middleware systems such as MySQL, Redis, and MQ, including troubleshooting and performance tuning.
  • •Familiarity with time-series data systems (e.g., OpenTSDB, Prometheus, InfluxDB) and OLAP databases (e.g., ClickHouse).
  • •Solid understanding of distributed systems with hands-on experience designing, developing, and maintaining large-scale distributed systems.
Experience:Machine learningDistributed systems
Education:PhD / Doctorate in Computer Science
Skills:LearningCommunicationSelf-motivatedResponsibilityTeamwork
Tech Stack:PythonGolangC++MySQLRedisMQOpenTSDBPrometheusInfluxDBClickHouseGPU computingResource scheduling

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