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# Machine Learning Engineer, Recommendation - TikTok eCommerce

- **Company:** Tiktok Shop
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $207,480.0
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Computer Vision, Big Data, C++ (Programming Language), Software Code Optimization, Computer Programming, Information Retrieval, Python (Programming Language), Logistic Regression, Machine Learning, Natural Language Processing, Tensorflow, Feature Engineering, Deep Learning, Information Technology, Xgboost, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://www.themuse.com/jobs/tiktok/senior-machine-learning-engineer-recommendation-tiktok-ecommerce-093914

## About the Role

* Bachelor or above degree in Computer Science or related fields with strong programming and problem-solving ability
 * At least 3 years working experience in one of the following fields: recommendation algorithm, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields

Preferred Qualifications:

 * Familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.
 * Experience in Deep Learning Tools such as tensorflow/pytorch
 * Experience with at least one programming language like C++/Python or equivalent

## Description

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce., * Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc. in TikTok

 * Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently
 * Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation