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# Machine Learning Engineer, TikTok Lead Ads

- **Company:** Tiktok Inc
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $162,000.0 - $316,800.0
- **Contract:** Permanent contract
- **Skills:** Mxnet, Data Analysis, C++ (Programming Language), Computer Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Software Engineering, Feature Engineering, Pytorch, Information Technology, Software Coding
- **Published:** September 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=04da17a2789af402

## About the Role

* BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
 * 3+ years of hands-on experience with applying machine learning methods for ranking.
 * 3+ years of software development experience and strong coding skills, especially in Python/C++.
 * Experience with recommender system projects.
 * Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics.
 * Curiosity toward new technologies and entrepreneurship.

Preferred Qualification(s):

 * Experience with Tensorflow/PyTorch/MXNet., Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment

## Description

Our Lead Ads team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering lead ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine learning algorithms. As a Machine Learning Engineer on the Lead Ads team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations and launch various products that maximize the efficiency of lead ads delivery., * Work on the development of a large-scale online ads delivery system and improve its accuracy.

 * Explore multi-stage ranking models, conduct data analysis, develop feature engineering.
 * Participate in the innovations of online ads systems using machine learning models, ranking algorithms, etc.
 * Partner with product managers, data scientists and product strategy & operation team to launch new Lead Ads products and features.


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