Senior Algorithm Engineer - Content Personalization (Remote)

Binance

Hong Kong

Remote

HKD 900,000 - 1,500,000

Full time

14 days+

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Job summary

Binance is seeking an experienced machine learning professional to design and manage search recommendation services that power content experiences. You will apply personalization methods to optimize content matching and distribution at scale.

The role requires a strong track record in large-scale, data-driven development and collaboration with global teams. A publication background is a plus in a fast-paced, remote-first environment.

Qualifications

  • MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics with at least 5 years of industry experience (content domain preferred).
  • Strong hands-on experience with PyTorch or TensorFlow.
  • Experience in large-scale application development, preferably in content-related user-facing applications.
  • Excellent cross-team collaboration skills with the ability to work effectively with global content teams.
  • Publication record at top-tier conferences or journals is a plus.

Responsibilities

  • Design and manage search recommendation services and models to support the content team.
  • Utilize machine learning-based personalization methods to enhance content matching and distribution.
  • Deep understanding of recommendation systems within the content domain to drive AI product upgrades.
  • Lead the development of core content recommendation modules using data-driven strategies.
  • Collaborate with content, business, and product teams to define success metrics.

Skills

ML frameworks
Large-scale development
Cross-team collaboration
Publications (bonus)

Education

MSc or PhD in ML/CS/Math

Tools

PyTorch
TensorFlow

Job description

Binance is seeking an experienced machine learning professional to design and manage search recommendation services that power content experiences. You will apply personalization methods to optimize content matching and distribution at scale.

The role requires a strong track record in large-scale, data-driven development and collaboration with global teams. A publication background is a plus in a fast-paced, remote-first environment.

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