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# Machine Learning Engineer Graduate

- **Company:** Tiktok Inc
- **Location:** San Jose, CA, United States
- **Experience:** Starter
- **Salary:** $128,000.0 - $316,800.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Agile Methodology, Big Data, C++ (Programming Language), Data Structures, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Deep Learning, Backend, Information Technology, Apache Flink, Golang
- **Published:** October 13, 2026
- **Apply:** https://www.themuse.com/jobs/tiktok/machine-learning-engineer-graduate-tiktok-vertical-recommendation-2027-start

## About the Role

The Recommendation Architecture team powers personalized recommendations for TikTok's vertical businesses. Our team consists of machine learning engineers and system engineers who support and innovate on production recommendation models serving hundreds of millions of users. We work at the intersection of machine learning and large-scale distributed systems, in a fast-paced, collaborative and impact-driven culture where your work directly shapes what users discover on TikTok every day., Individuals who are completing or have 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 general-purpose programming language such as Python, C++, Go, or Java.
 - Strong communication and collaboration skills; curiosity about technology and problem-solving., Internship or research experience in recommendation, search, or ads; publications in relevant venues are a plus.
 - Hands-on experience with a deep learning framework such as PyTorch or TensorFlow.
 - Experience with large-scale data processing (Spark/Flink) or distributed model training.
 - Agile and quick learner with self-motivation, a sense of ownership, and creative problem-solving abilities.

## Description

About the Team, Implement, train, and iterate on retrieval and ranking models (candidate generation, coarse/fine ranking, re-ranking) for TikTok vertical-business recommendation scenarios, in close partnership with algorithm teams.

 - Deliver end-to-end machine learning engineering solutions: from model implementation and feature engineering on large-scale user behavior data to online deployment.
 - Run and analyze A/B experiments; drive launches that improve core business metrics.
 - Productionize state-of-the-art techniques such as sequence modeling, multi-task/multi-objective learning, and LLM-enhanced recommendation in large-scale systems.
 - Collaborate closely with algorithm teams, backend engineers, data scientists, and product teams.