Machine Learning Engineer (Recommendation)

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Machine Learning Engineer (Recommendation) in Others

ByteDance
Full time
Email

Others
09/09/2026
Report

Singapore, Singapore

Responsibilities

Build and design large-scale machine learning algorithms for real-time creator-interest modeling and conversion optimization.
Optimize commodity relationship mining, recommendation ranking, and recall for creators' product recommendations.
Analyze large-scale merchant and creator behavior to develop targeted algorithm strategies.
Support scalable and optimized AI/ML models in production.
Build algorithms for extracting, transforming, and loading large volumes of real-time unstructured data for AI/ML deployment.
Run experiments to evaluate deployed models and identify and resolve bugs.
Apply statistics, scripting, programming, and deployed software platforms in a collaborative team environment.

Requirements

Bachelor's, master's, or PhD degree in Computer Science or a related field.
Experience with C++ and Python.
Proficiency with at least one big-data tool, such as Hive SQL, Spark, or MapReduce.
Proficiency with at least one deep-learning tool, such as TensorFlow or PyTorch.
Applied machine learning experience with algorithms including collaborative filtering, matrix factorization, factorization machines, Word2vec, logistic regression, gradient boosting trees, and deep neural networks.
Industry experience in personalized recommendation, online advertising, information retrieval, or a related field.
Preferred qualifications include strong learning ability, communication and collaboration skills, enthusiasm for solving challenging technical problems, and publications at relevant conferences.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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