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Recommendation System Architecture Engineer

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Recommendation System Architecture Engineer in Others

  • ByteDance
  • Full time
  • Email
  • Singapore, Singapore

Responsibilities

  • Design and develop recommendation system architecture for stability, high availability, performance, and cost efficiency.
  • Build systems for recommendation strategy definition, evaluation, automatic retirement of ineffective strategies, and configuration cleanup.
  • Develop adaptive system tuning and fault diagnosis capabilities using large-model technologies.
  • Process heterogeneous cross-domain data while improving data quality, privacy, security, and compliance.
  • Develop high-performance storage engines, Schema Evolution mechanisms, real-time data writing systems, and training-inference consistency solutions.
  • Build data-model correlation analysis tools and automated training-data processing pipelines based on Data-Centric AI concepts.
  • Construct multimodal data and heterogeneous computing frameworks and improve data processing and model training efficiency.
  • Optimize the architecture and algorithms of large-scale recommendation models through architecture-algorithm co-design.
  • Collaborate with algorithm engineers, data analysts, and product managers to explore generative recommendation technologies.

Requirements

  • Doctoral degree in artificial intelligence, computer science, mathematics, or a related interdisciplinary field.
  • In-depth research results or extensive practical experience in relevant areas such as natural language processing, computer vision, data modeling, or algorithm optimization is preferred.
  • Strong programming ability in data structures and fundamental algorithms; C/C++ is required for traditional coding roles and Python is required for intelligent coding roles.
  • Ability to implement complex algorithms, build iterative models, and balance system performance with cost.
  • Strong machine learning fundamentals, including the ability to build, train, and optimize machine learning models.
  • Familiarity with common machine learning models such as decision trees and support vector machines.
  • Familiarity with current AGI technologies and ability to validate their applications in e-commerce generative recommendation.
  • Strong communication and collaboration skills with technical and product stakeholders.

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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