Lead Data Scientist, Search & Recommendation (Remote)

Binance

Hong Kong

Hybrid

HKD 705,329 - 1,018,808

Full time

14 days+

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Benefits offered by this job

Competitive salary
Company benefits
Work-from-home arrangement

Job summary

Binance is seeking a Machine Learning Specialist in Hong Kong to design and manage search recommendation services. You will empower content ecosystem development through machine learning-based personalization, enhancing content matching and distribution efficiency.

The ideal candidate has an MSc or PhD in a relevant field with at least 5 years of industry experience, particularly in the content domain. Joining Binance means working in a diverse and innovative environment with a competitive salary and work-from-home flexibility.

Qualifications

  • At least 5 years of relevant industry experience, preferably in the content domain.
  • Strong hands-on experience with popular machine learning frameworks.
  • Experience in large-scale application development in content-related applications.

Responsibilities

  • Design and manage search recommendation services for the content team.
  • Utilize machine learning personalization methods to enhance content matching.
  • Lead the development of core content recommendation modules through data-driven strategies.

Skills

Machine Learning
Data-Driven Strategy
Cross-Team Collaboration
Content Experience

Education

MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics

Tools

PyTorch
TensorFlow

Job description

Binance is seeking a Machine Learning Specialist in Hong Kong to design and manage search recommendation services. You will empower content ecosystem development through machine learning-based personalization, enhancing content matching and distribution efficiency.

The ideal candidate has an MSc or PhD in a relevant field with at least 5 years of industry experience, particularly in the content domain. Joining Binance means working in a diverse and innovative environment with a competitive salary and work-from-home flexibility.

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