TikTok
Machine Learning Engineer Graduate (TikTok Vertical Recommendation) - 2027 Start
San Jose, California · Full-time · Posted Oct 28, 2026
- Experience
- No specific number of years stated; candidates should be completing or have recently completed a Bachelor's degree.
- Education
- Bachelor's degree in Computer Science or a related discipline.
About the job
Build and deploy recommendation models for TikTok’s vertical businesses, using large-scale user behavior data and experiments to improve business metrics.
What you'll do
- Implement, train, and iterate on retrieval and ranking models, from candidate generation through re-ranking.
- Deliver end-to-end ML solutions, including feature engineering and online deployment.
- Analyze A/B experiments and productionize techniques such as sequence modeling, multi-task learning, and LLM-enhanced recommendation.
What they ask for
- Completing or recently completed a Bachelor’s degree in Computer Science or a related discipline.
- Solid foundation in data structures, algorithms, and machine learning fundamentals.
- Proficiency in at least one of Python, C++, Go, or Java.
- Strong communication and collaboration skills.
Nice to have
- Internship or research experience in recommendation, search, or ads; relevant publications are a plus.
- Experience with PyTorch or TensorFlow, large-scale data processing (Spark/Flink), or distributed model training.
Tools
Python, C++, Go, Java, PyTorch, TensorFlow, Spark, Flink
AI focus
Develop and productionize recommendation models, including sequence modeling, multi-task/multi-objective learning, and LLM-enhanced recommendation.
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