TikTok
Machine Learning Engineer, Web Ads and Open-loop E-Commerce -USDS
TikTok, Mountain View, California, us, 94039
Responsibilities
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TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.
We are seeking Machine Learning Engineers who can help us 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.
Responsibilities:Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies.Explore, develop and experiment with new features to improve model accuracy.Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users.Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.
Qualifications
Minimum Qualifications:BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 3+ years of related work experience.Solid programming skills, including but not limited to: Go, C/C++, 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 machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.).Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet).
Preferred Qualifications:Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems.Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).Relevant work or research experiences in search and recommendation.
Job Information:The base salary range for this position in the selected city is $228000 - $360000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life.
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Increase your chances of reaching the interview stage by reading the complete job description and applying promptly.
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.
We are seeking Machine Learning Engineers who can help us 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.
Responsibilities:Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies.Explore, develop and experiment with new features to improve model accuracy.Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users.Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.
Qualifications
Minimum Qualifications:BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 3+ years of related work experience.Solid programming skills, including but not limited to: Go, C/C++, 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 machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.).Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet).
Preferred Qualifications:Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems.Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).Relevant work or research experiences in search and recommendation.
Job Information:The base salary range for this position in the selected city is $228000 - $360000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life.
#J-18808-Ljbffr