TikTok
Machine Learning Engineer, Search Engine, E-Commerce Alliance
TikTok, Seattle, Washington, us, 98127
Responsibilities
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, Mountain View, New York, Austin, London, Paris, Berlin, Dubai, Singapore, Jakarta, São Paulo, 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.
Job Responsibilities:Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc.Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user queries to empower the merchant side and improve the overall matching ability of the platform.Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading.Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development.
Qualifications:Proficient in at least one programming language: C++, Python, Shell, and other programming skills, with a solid programming foundation and good programming style.Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), familiar with commonly used deep learning algorithms.Able to solve problems independently, good sense of teamwork and communication skills.Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.
Job Information:Compensation Description (annually): The base salary range for this position in the selected city is $126000 - $194750 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. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.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. We offer the following benefits to eligible employees:100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.Mental and emotional health benefits through our EAP and Lyra.A 401K company match, gym and cellphone service reimbursements.
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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, Mountain View, New York, Austin, London, Paris, Berlin, Dubai, Singapore, Jakarta, São Paulo, 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.
Job Responsibilities:Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc.Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user queries to empower the merchant side and improve the overall matching ability of the platform.Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading.Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development.
Qualifications:Proficient in at least one programming language: C++, Python, Shell, and other programming skills, with a solid programming foundation and good programming style.Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), familiar with commonly used deep learning algorithms.Able to solve problems independently, good sense of teamwork and communication skills.Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.
Job Information:Compensation Description (annually): The base salary range for this position in the selected city is $126000 - $194750 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. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.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. We offer the following benefits to eligible employees:100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.Mental and emotional health benefits through our EAP and Lyra.A 401K company match, gym and cellphone service reimbursements.
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