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Machine Learning Engineer (Recommendation)

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Machine Learning Engineer (Recommendation) in Others

  • ByteDance
  • Full time
  • Email
  • 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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