Machine Learning Engineer, App Ads and Gaming
TikTok
San Jose, CA · Posted November 13, 2026
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Where San Jose, CA ranks
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November 2026
- #1Best cities for marketing pay after cost of living$204k · of 16
- #1Best cities for aerospace and defense pay after cost of living$187k · of 19
- #2Best cities for security pay after cost of living$220k · of 10
- #3Best cities for technology pay after cost of living$205k · of 80
- #5Best cities for technology jobs1,449 openings · of 100
- #5Cities with the most jobs that do not need a four-year degree in the West Coast162 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 60 open machine learning engineer listings that state pay, the middle half runs $174,000 to $266,000 and the median is $210,500.
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Machine Learning Engineer salaries by state · Check your own pay
TikTok has filed one layoff notice in the last twelve months, covering 250 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
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About the job
The App Ads and Gaming team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering application 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 App Ads & Gaming 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 deep funnel app ads delivery.
Key Responsibilities: - Work on the development of a large-scale App Ads delivery system and improve its accuracy. - Explore multi-stage ranking models, conduct data analysis, develop feature engineering. - Participate in the innovations of core App Ads systems using machine learning models, ranking algorithms, etc. - Partner with product managers, data scientists and product strategy & operation team to launch new App Ads products and features.
Minimum Qualifications: - 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 Tensorflow/PyTorch/MXNet is a plus. - Experience with recommender system projects. - Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics. - Curiosity toward new technologies and entrepreneurship.