ML Engineer Intern — Recommendations & Search (Summer 2027)

TikTok USDS Joint Venture LLC; San Jose (CA); On-site; USD 51,000 - 73,000; Full time

Benefits offered by this job

Health insurance

Housing allowance

Paid holidays

Job summary

TikTok USDS Joint Venture LLC invites applications for a Machine Learning Engineer Intern (Recommendations and Search) in San Jose for Summer 2027. You will design, train, and evaluate ML models for recommendations and search, build efficient data pipelines, and analyze massive scales of user behavior data to support real-time features and offline training.

The role emphasizes collaboration, strong coding foundations, and familiarity with ML frameworks.

Qualifications

• Pursuing a Bachelor's degree in a related technical field and able to commit to a 12-week internship.
• Preferred: pursuing a Master's degree in a related field.
• Experience with ML or information retrieval is a plus.

Responsibilities

• Design, train, and evaluate ML models for recommendation or search ranking.
• Build pipelines for feature extraction, model training, and A/B testing.
• Analyze large-scale user behavior data and logs to construct real-time and offline features.

Skills

Strong coding skills

Communication skills

Teamwork

Education

Bachelor's degree in CS/CE/SE or related

Master's degree in CS/CE/SE or related

Tools

scikit-learn

TensorFlow

PyTorch

Job description

TikTok USDS Joint Venture LLC invites applications for a Machine Learning Engineer Intern (Recommendations and Search) in San Jose for Summer 2027. You will design, train, and evaluate ML models for recommendations and search, build efficient data pipelines, and analyze massive scales of user behavior data to support real-time features and offline training.

The role emphasizes collaboration, strong coding foundations, and familiarity with ML frameworks.