TikTok
Machine Learning Engineer, E-commerce Feed Recommendation
Seattle, Washington · Full-time · Posted Oct 28, 2026
- Experience
- 1 year of applied machine learning; preferred: 2 years in listed related fields.
- Education
- Bachelor’s degree or higher in Computer Science or a related field.
About the job
Builds and improves large-scale recommendation systems for TikTok Shop videos and livestreams, using machine learning to personalize shopping discovery and increase engagement and satisfaction.
What you'll do
- Develop and iterate on candidate-generation and ranking models, including click-through and conversion-rate prediction, data pipelines, and feature engineering.
- Model users’ short- and long-term interests and develop strategies for challenges such as cold start and traffic allocation.
- Build supporting and debugging tools for recommendation systems.
What they ask for
- Bachelor’s degree or higher in Computer Science or a related field.
- At least 1 year of applied machine learning experience and familiarity with one or more listed algorithms.
- Experience with TensorFlow or PyTorch.
- Experience with at least one programming language such as C++ or Python, or equivalent.
Nice to have
- At least 2 years of experience in recommendation systems, online advertising, information retrieval, NLP, machine learning, large-scale data mining, or related fields.
- Relevant publications or experience in data-mining or machine-learning competitions.
Tools
TensorFlow, PyTorch, C++, Python, Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec
AI focus
Applies machine learning to personalized e-commerce video and livestream recommendations, including ranking, candidate generation, user-interest modeling, and shopping-experience strategies.
Model-written summary · the original posting is authoritative