Data Scientist (Search & Recommendation)

Binance; Singapore; Remote; SGD 120,000 - 190,000; Full time

Benefits offered by this job

Remote-first

Job summary

Binance is seeking an experienced ML/AI content recommender engineer to design and manage search recommendation services that power our global content ecosystem. You will apply ML-based personalization to improve content matching and distribution, and lead core recommendation modules with data-driven strategies across content, business, and product teams.

The role requires a strong research background, hands-on coding in PyTorch or TensorFlow, and collaboration with global teams.

Qualifications

• Requires MSc/PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics.
• At least 5 years of relevant industry experience; content domain experience preferred.
• Publication record at top-tier venues is a plus.

Responsibilities

• Design and manage search recommendation services and models for content team.
• Apply ML-based personalization to enhance content matching and distribution.
• Lead the development of core content recommendation modules with data-driven strategies.

Skills

Cross-functional collaboration

Publications (plus)

Education

MSc/PhD in ML/CS/Applied Math

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, and more. Our mission is to increase the freedom of money and 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 of finance
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.