PhD ML Engineer Intern: Recommendations & Search (Summer 2027)

TikTok USDS Joint Venture LLC

San Jose (CA)

On-site

USD 68,000 - 97,000

Full time

2 hours ago
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Benefits offered by this job

Health insurance from day one
10 paid holidays per year
Housing allowance

Job summary

TikTok USDS Joint Venture LLC in San Jose seeks a Machine Learning Engineer Intern (Recommendations and Search) for Summer 2027. This PhD internship offers hands-on work on building and evaluating ML models for recommendation systems and search ranking.

You will design scalable pipelines, process massive user data, and collaborate with a team to deploy offline-to-online features and run A/B tests. Applicants must be pursuing a PhD and commit to a 12-week internship, with strong coding and

Qualifications

  • Pursuing a PhD degree in a technical field (CS/CE/SE or related).
  • Able to commit to a 12-week internship during Summer 2027.
  • Strong coding skills and solid understanding of algorithms & data structures.
  • Excellent communication and teamwork abilities.
  • Experience in recommender systems, online advertising, information retrieval, NLP, ML, or related fields.
  • Familiar with ML frameworks such as scikit-learn, TensorFlow, PyTorch.
  • Ability to think critically and communicate in a data-driven manner.

Responsibilities

  • Design, build, train, and evaluate ML models for recommendations or search ranking.
  • Implement pipelines for feature extraction, model training, evaluation, and deployment.
  • Process and analyze large-scale user behavior data and logs to build real-time and offline features.

Skills

Strong algorithms & data structures
Proficient coding
Effective communication

Education

PhD candidate in Computer Science/Engineering

Tools

scikit-learn
TensorFlow
PyTorch

Job description

TikTok USDS Joint Venture LLC in San Jose seeks a Machine Learning Engineer Intern (Recommendations and Search) for Summer 2027. This PhD internship offers hands-on work on building and evaluating ML models for recommendation systems and search ranking.

You will design scalable pipelines, process massive user data, and collaborate with a team to deploy offline-to-online features and run A/B tests. Applicants must be pursuing a PhD and commit to a 12-week internship, with strong coding and

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