Data Scientist (Search & Recommendation)

Binance; Singapore; Remote; SGD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Flexible working hours

Remote-first

Casual work attire

Career development opportunities

Job summary

A leading global cryptocurrency exchange in Singapore is seeking an experienced professional to design and manage search recommendation systems. The ideal candidate will have a MSc or PhD in relevant fields and at least 5 years of industry experience, particularly in content domains. You will leverage machine learning techniques and collaborate with global teams on exciting projects. This role offers competitive salary, benefits, and flexible working hours in a dynamic environment.

Qualifications

• MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience.
• Strong hands-on experience with popular machine learning frameworks such as PyTorch or TensorFlow.
• Excellent cross-team collaboration skills.

Responsibilities

• Design and manage search recommendation services and models.
• Utilize machine learning-based personalization methods.
• Lead the development of core content recommendation modules.

Skills

Machine Learning

Computer Vision

PyTorch

TensorFlow

Cross-team collaboration

Education

MSc or PhD in relevant fields

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 over 280 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.

Working at Binance

• Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities
• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless
• Tackle fast-paced, challenging and unique projects
• Work in a truly global organization, with international teams and a flat organizational structure
• Competitive salary and benefits
• Flexible working hours, remote-first, and casual work attire

Learn more about how Binancians embody the organization’s core values, creating a unified culture that enables collaboration, excellence, and growth.

Apply today to be a part of the Web3 revolution!

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