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Machine Learning Engineer Intern (Lead Ads) - 2027 Summer

San Jose, United States of America💼 Internship🗓 2026-09-28

Core

Building large-scale lead ads delivery systems and optimizing relevance models, ranking strategies, and NLP capabilities for TikTok's personalized advertising.

Role type

Machine Learning Engineer Intern (Lead Ads)

Builds

Large-scale Ads system, relevance models, ranking strategies, NLP features

Domain

Online advertising, machine learning, natural language processing

Deliverable

production ML models

Required skills

Go, C/C++, Python, statistics, machine learning theory, deep learning (CNN/RNN/LSTM), ML frameworks (TensorFlow/PyTorch/MXNet), feature engineering, data analysis

Preferred skills

Ads system, recommendation, searching, ranking

Responsibilities

Develop relevance models and ranking strategies, improve NLP capabilities (query understanding, seq2seq, NER), estimate CTR/CVR model accuracy, research ads pacing algorithms, partner with product teams on strategy

Seniority

Intern

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