TikTok
Tech Lead Machine Learning Engineer, Web Ads and Open-loop E-Commerce
TikTok, San Jose, California, United States, 95123
Responsibilities
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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.
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 work with a fully globalized team made up of great engineering talents in different countries and collaborate closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.
What You'll Do:Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click-through rate prediction, conversion rate prediction, intelligent format selection, and user journey optimization.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.
QualificationsBS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 7+ 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).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).Relevant work or research experiences in search and recommendation.
Job Information:The base salary range for this position in the selected city is $224,000 - $410,000 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 create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and offer a Health Savings Account (HSA) with a company match. We also provide generous benefits like mental and emotional health benefits through our EAP and a 401K company match.
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Is this the role you are looking for If so read on for more details, and make sure to apply today.
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.
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 work with a fully globalized team made up of great engineering talents in different countries and collaborate closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.
What You'll Do:Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click-through rate prediction, conversion rate prediction, intelligent format selection, and user journey optimization.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.
QualificationsBS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with 7+ 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).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).Relevant work or research experiences in search and recommendation.
Job Information:The base salary range for this position in the selected city is $224,000 - $410,000 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 create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and offer a Health Savings Account (HSA) with a company match. We also provide generous benefits like mental and emotional health benefits through our EAP and a 401K company match.
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