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# Senior Machine Learning Engineer, Recommendation - TikTok eCommerce

- **Company:** Tiktok Inc
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Computer Vision, Big Data, C++ (Programming Language), Software Code Optimization, Computer Programming, Software Debugging, Information Retrieval, Python (Programming Language), Logistic Regression, Machine Learning, Natural Language Processing, Tensorflow, Feature Engineering, Deep Learning, Build Management, Information Technology, Xgboost, Data Pipelines
- **Published:** November 11, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-machine-learning-engineer-recommendation-tiktok-ecommerce-san-jose-ca--2f93ebfb-1c51-4d94-bba9-0eb588c2b50e

## About the Role

Machine Learning, eCommerce, eCommerce, Algorithms, Data Science, Business Growth, Machine Learning, Sales, Customer Satisfaction, Analysis Skills, * 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
 * Design and build supporting/debugging tools as needed Minimum Qualifications