Machine Learning Engineer Graduate; App Ads and Gaming BS/MS
Listed on 2025-12-02
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Software Development
Machine Learning/ ML Engineer, Data Scientist
Join to apply for the Machine Learning Engineer Graduate (App Ads and Gaming) - 2026 Start (BS/MS) role at Tik Tok
Machine Learning Engineer Graduate (App Ads and Gaming) - 2026 Start (BS/MS)1 week ago Be among the first 25 applicants
Join to apply for the Machine Learning Engineer Graduate (App Ads and Gaming) - 2026 Start (BS/MS) role at Tik Tok
Responsibilities
The App Ads and Gaming team empowers Tik Tok's global monetization (billion-dollar business) via efficiently delivering application ads on Tik Tok. Our mission is to push the boundaries of large-scale ad delivery systems and lead the innovations of Tik Tok's personalized online advertising.
Responsibilities
The App Ads and Gaming team empowers Tik Tok's global monetization (billion-dollar business) via efficiently delivering application ads on Tik Tok. Our mission is to push the boundaries of large-scale ad delivery systems and lead the innovations of Tik Tok's personalized online advertising.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with Tik Tok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resumes.
Applications will be reviewed on a rolling basis. We encourage you to apply early.
Key Responsibilities
- Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization.
- Explore, develop and experiment with new features to improve model accuracy.
- Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users.
- Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on Tik Tok.
Minimum Qualifications :
- BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with related work experience.
- Solid programming skills, including but not limited to:
Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment. - Good analytical thinking capability. Have essential knowledge and skills in statistics.
- Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.).
- Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (Tensor Flow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.
- Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB).
- Experience in resource management and task scheduling with large-scale distributed software (such as Spark and Tensor Flow).
- Relevant work or research experiences in search and recommendation.
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $118657 - $177000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical,…
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