Senior Machine Learning Engineer, TikTok Core Ads Ranking

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 Senior 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 in any of the following domains: search, ranking or recommendation. - 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. If you need assistance or reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2 .By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy. RegularExperienced