Data Scientist (Search & Recommendation)

Binance; Hong Kong; On-site; HKD 705,329 - 1,018,808; Full time

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 a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities

• Design and manage search recommendation services and models to support the content team, empowering content ecosystem development.
• Utilize machine learning-based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency.
• Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades and improve content experience and business outcomes.
• Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
• Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics.

Requirements

• MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience (experience in the content domain is preferred).
• Strong hands‑on experience with popular machine learning frameworks such as 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.

Why Binance

Shape the future with the world’s leading blockchain ecosystem

Collaborate with world‑class talent in a user‑centric global organization with a flat structure

Tackle unique, fast‑paced projects with autonomy in an innovative environment

Thrive in a results‑driven workplace with opportunities for career growth and continuous learning

Competitive salary and company benefits

Work‑from‑home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.