TikTok
Machine Learning Engineer Intern (Lead Ads) - 2027 Summer
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing a Bachelor's or above degree in Computer Science, Computer Engineering, or a related technical discipline.
About the job
Develop and optimize large-scale advertising delivery systems and machine-learning algorithms for personalized lead ads, including relevance, ranking, query understanding, and ad performance.
What you'll do
- Develop large-scale ads systems and iterate on ads algorithms using machine learning.
- Optimize relevance models and strategies, NLP/query understanding, CTR/CVR estimation, and ad pacing or traffic control.
- Analyze data, build models and features, and partner with product and operations teams on product strategy and features.
What they ask for
- Currently pursuing a bachelor's degree or above in Computer Science, Computer Engineering, or a related technical discipline.
- Programming skills in languages such as Go, C/C++, or Python; knowledge of data structures, algorithms, and Linux development.
- Knowledge of statistics and machine- and deep-learning concepts and techniques, such as CNN/RNN/LSTM.
- Familiarity with the architecture and implementation of at least one framework: TensorFlow, PyTorch, or MXNet; able to commit to 12 weeks full-time during Summer 2027.
Nice to have
- Experience or familiarity with ads systems, recommendation, search, or ranking.
Tools
Go, C/C++, Python, Linux, TensorFlow, PyTorch, MXNet, CNN/RNN/LSTM
AI focus
Machine learning for personalized ad delivery, relevance and ranking, NLP/query understanding, CTR/CVR prediction, and ad pacing.
Model-written summary · the original posting is authoritative