Machine Learning Engineer, TikTok Core Ads Ranking at TikTok

DescriptionTikTok 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 UsWe are the TikTok Ads Core Ranking team from TikTok Global Monetization Technology
Our mission is to optimize the wholistic efficiency of delivery system and revenue growth by building the State-Of-The-Art model/strategy/framework
We're looking for innovative Machine Learning Engineers to join our TikTok Ads Core-Ranking team
Ads Core is a mid-platform team that develops state-of-art ad technologies, including ranking, targeting, bidding, auction, etc
You will be part of the Ranking team that is optimizing ads format and ranking model & strategies, including recall&rough-sort, fine-sort, format personalization and system framework, and you will be directly responsible for bringing a more advanced advertising delivery system and better return on investment for advertisers.As part of our team, you will be responsible for: - Optimize efficiency across the entire advertising funnel, including Recall&Rough-sort, Fine-sort(CTR/CVR), format/creative personalization and system resource allocation.- Research & develop a global advanced advertising delivery system through frontier technologies, including ML/DL, RL, LLM and also scaling law in ads recommendation.- Design & Set up system framework and standard to continuously improve overall efficiency and meet different vertical business needs
- Work with product and business teams from various scenario vision with global impact.All of our team effort, is to continuously pursue and establish a world-leading ranking model & framework that always benefits our collaborators, users and customers to get better return
QualificationsMinimum 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.- Solid programming skills, proficient in C/C++ and Python
Familiar with basic data structure and algorithms
Familiar with Linux development environment.- Familiarity with online experimentation and analytics.- Familiarity with big data systems including Hadoop and Spark.- Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet).- Curiosity towards new technologies and entrepreneurship.Preferred Qualifications:- Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus.- Understanding of the business value of online advertising.- Experience in LLM is a plus.- Paper publication in NLP/CV/recommendation system(RecSys/KDD/NIPs..
etc)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
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