Machine Learning Engineer, TikTok Ads Core - Native Ads & Business Accounts 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 UsAt TikTok, our people are humble, intelligent, compassionate and creative
We create to inspire - for you, for us, and for more than 1 billion users on our platform
We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes
Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility
Join us and make impact happen with a career at TikTok.We are the Ads Core Team from TikTok Global Monetization Technology
Within the global monetization and advertising landscape, we are responsible for generating revenues through advanced machine learning technology and delivering optimal user experience solutions
Our team's mission is to create automatic delivery products for the next generation, to develop advertising as a business instead of just a monetization tool, and to consolidating the delivery funnel framework allowing multiple teams to iterate parallel
We’re looking for innovative Machine Learning Engineers to develop state-of-art ad technologies, including ranking, retrieval, targeting, bidding, auction, etc
You will be part of a team that's optimizing ads format and ranking strategies, and you will be responsible for bringing a better return on investment for advertisers
What You'll Do• Improve the effectiveness of spark ads delivery in all ads ranking systems, improve user experience and ROI.• Develop open-loop bidding products by joint optimization of recommendation traffic and ads traffic.• Iterate bidding strategy to reach the ROI and CPA goal.• Improve anchor model efficiency, including privacy preserving environments
• Improve user experience, maximize the delivery effect with minimal experience loss.QualificationsMinimum Qualifications:• BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with model optimization experience.• Solid programming skills, proficient in C/C++ and 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 deep learning concepts and techniques.• Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet), familiar with its architecture and implementation mechanism.Preferred Qualifications:• 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 TensorFlow).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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