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Machine Learning Engineer for Scalable Recommendation Systems

1 week ago


Seattle, Washington, United States TikTok Full time

At TikTok, we're passionate about 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.

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Company Overview

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TikTok is the leading destination for short-form mobile video. We aim to inspire creativity and bring joy by providing oversight and protection of the TikTok platform and U.S. user data, ensuring millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained.

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Job Description

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As a Senior Machine Learning Engineer on our Recommendations team, you will participate in building large-scale recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations in TikTok. You'll build long and short-term user interest models, analyze and extract relevant information from large amounts of various data, and design algorithms to explore users' latent interests efficiently.

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You'll design, develop, evaluate, and iterate on predictive models for candidate generation and ranking, including building real-time data pipelines, feature engineering, model optimization, and innovation. Additionally, you'll design and build supporting/debugging tools as needed.

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Required Skills and Qualifications

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• Bachelor's degree or higher in Computer Science or related fields.

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• Strong programming and problem-solving ability.

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• Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep, etc.

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• Experience in Deep Learning Tools such as TensorFlow/PYTORCH.

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• Experience with at least one programming language like C++/Python or equivalent.

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Benefits

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At TikTok, we strive to create an environment that reflects the many communities we reach. We believe in celebrating our diverse voices and fostering collaboration and cross-functional partnerships.

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Others

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This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.

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Join us in shaping the future of recommendations on TikTok.