Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core 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 a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc.
as well as new innovative features.
We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.
e. desired user value and effectiveness of ROI. 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
Minimum Qualifications :
- BS / MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 7+ years of 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 :
- 3+ years of experience in similar fields as a tech lead in a team consisting of at least three machine learning engineers or applied scientists.
- Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus.
- 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. At TikTok, our mission is to inspire creativity and bring joy.
To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
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 redacted
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