TikTok
Sr. Machine Learning Engineer / Applied Scientist, Recommendations, E-Commerce A
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. 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 actively seeking an Applied Scientist to join our Global E-Commerce Alliance Team. This role is centered on developing and implementing innovative machine learning solutions for our recommendation systems in E-Commerce business. The successful candidate will work closely with cross-functional teams, providing expert insight and influencing critical decision-making across multiple areas of our business.
Responsibilities:
Collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our recommendation systems.Utilize ML, NLP, and CV techniques to deal with real-world signals generated from products, creators, merchants, e-commerce transactions, and so on.Design and deploy the large recommendation model, in the online learning manner, to serve billions of queries and products.Formulate end-to-end machine learning models for recommendation systems, ensuring their efficient and effective operation.Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making.Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction.Stay abreast of the latest advances in machine learning and recommendation systems, integrating this knowledge into your work.Clearly communicate complex technical concepts, methodologies, and results to a diverse audience, influencing decisions based on your findings.Adhere to stringent data governance and privacy protocols, ensuring all user data is handled responsibly and ethically.
Qualifications
PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.Solid experience in machine learning, deep learning, data mining, or artificial intelligence.Proficient in programming languages such as Python, C++, Java, or similar.Deep understanding of recommendation algorithms and personalization systems.Excellent problem-solving and analytical skills.Strong ability to communicate complex ideas effectively to both technical and non-technical audiences.
Preferred Skills:
Experience with reinforcement learning techniques.Proven modeling/algorithms competition records on Kaggle or top conferences’ challenges.Proven programming competition records on ICPC, IOI or USACO.Experience working with recommendation systems, computational advertising, search engine, E-commerce recommendation systems.Publications in machine learning or related conferences or journals are highly desirable.
Job Information:
The base salary range for this position in the selected city is $184300 - $337250 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.
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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 actively seeking an Applied Scientist to join our Global E-Commerce Alliance Team. This role is centered on developing and implementing innovative machine learning solutions for our recommendation systems in E-Commerce business. The successful candidate will work closely with cross-functional teams, providing expert insight and influencing critical decision-making across multiple areas of our business.
Responsibilities:
Collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our recommendation systems.Utilize ML, NLP, and CV techniques to deal with real-world signals generated from products, creators, merchants, e-commerce transactions, and so on.Design and deploy the large recommendation model, in the online learning manner, to serve billions of queries and products.Formulate end-to-end machine learning models for recommendation systems, ensuring their efficient and effective operation.Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making.Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction.Stay abreast of the latest advances in machine learning and recommendation systems, integrating this knowledge into your work.Clearly communicate complex technical concepts, methodologies, and results to a diverse audience, influencing decisions based on your findings.Adhere to stringent data governance and privacy protocols, ensuring all user data is handled responsibly and ethically.
Qualifications
PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.Solid experience in machine learning, deep learning, data mining, or artificial intelligence.Proficient in programming languages such as Python, C++, Java, or similar.Deep understanding of recommendation algorithms and personalization systems.Excellent problem-solving and analytical skills.Strong ability to communicate complex ideas effectively to both technical and non-technical audiences.
Preferred Skills:
Experience with reinforcement learning techniques.Proven modeling/algorithms competition records on Kaggle or top conferences’ challenges.Proven programming competition records on ICPC, IOI or USACO.Experience working with recommendation systems, computational advertising, search engine, E-commerce recommendation systems.Publications in machine learning or related conferences or journals are highly desirable.
Job Information:
The base salary range for this position in the selected city is $184300 - $337250 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.
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