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Machine Learning Engineer for Ads Targeting
1 month ago
Responsibilities
TikTok is a leading destination for short-form mobile video. As a member of the Ads Targeting team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products.
This team is working on various products such as custom audience, interest, behavior, lookalike, auto targeting, etc., as well as new innovative features. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.
What You'll Do:
- Responsible for the development of state-of-the-art applied machine learning projects.
- Own key targeting components or strategies in the TikTok ads monetization ecosystem.
- Build scalable platforms and pipelines for ads targeting products.
- Work with product and business teams on the product vision.
Qualifications:
- BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics, or similar quantitative fields, with related experience.
- Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models, and applied mathematical methods.
- Strong coding skills, especially in Python/C++/Go. Experience with high-load systems.
- Familiarity with online experimentation and analytics.
- Familiarity with big data systems including Hadoop and Spark.
- Curiosity towards new technologies and entrepreneurship.
Preferred Qualifications:
- Experience in reinforcement learning, transfer learning, and counter-factual optimization.
- Understanding of the business value of online advertising.
- Experience with user modeling using deep learning methods from large-scale datasets. Experience with privacy-preserving modeling techniques is a plus.
- Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. We are passionate about this and hope you are too.
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
