Research Engineer Intern (Ads ML Infra) - 2026 Start (PhD)

TikTok
San Jose
Workplace: OnsiteInternshipFunction: Research & Scientific (R&D)Education: phdSkills: ["Problem-solving","Technical leadership","Cross-functional communication","Project leadership","Innovation"]

Join the Ads machine learning data platform team to build scalable, reliable infrastructure that powers Ads ranking. You’ll work with data pipelines for machine learning training, serving, and privacy enforcement—covering feature engineering, feature stores, and training data generation. The role involves leading projects, guiding peers, and collaborating cross-functionally while applying strong CS fundamentals and deep learning techniques such as causal inference and uplift modeling.

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FursaFursa
TikTok
TikTok
1 month ago

Research Engineer Intern (Ads ML Infra) - 2026 Start (PhD)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Join the Ads machine learning data platform team to build scalable, reliable infrastructure that powers Ads ranking. You’ll work with data pipelines for machine learning training, serving, and privacy enforcement—covering feature engineering, feature stores, and training data generation. The role involves leading projects, guiding peers, and collaborating cross-functionally while applying strong CS fundamentals and deep learning techniques such as causal inference and uplift modeling.
Location: San Jose
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Lead projects building and operating scalable, reliable Ads ranking infrastructure systems.
  • •Provide technical leadership and guidance to team members and project peers.
  • •Communicate cross-functionally across teams, organizations, and stakeholders to drive engineering efforts.
  • •Drive innovation by bringing in new ideas and technologies.
  • •Contribute to collecting and processing data for ML training, serving, and privacy enforcement (including feature engineering and training data generation).

Key Requirements

  • •PhD in computer science or a related technical discipline.
  • •Strong CS fundamentals (algorithms, data structures, software design) and problem-solving skills.
  • •Solid coding skills and understanding of algorithms, including causal inference, uplift modeling, and deep learning.
  • •Experience managing projects.
  • •Experience in the Ads domain and/or building large-scale ranking infrastructure (preferred).
Experience:AdsMachine learningRanking infrastructureData platformDeep learning
Education:PhD / Doctorate
Skills:Problem-solvingTechnical leadershipCross-functional communicationProject leadershipInnovation

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn