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.
Skills Required
- MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics
- At least 5 years of relevant industry experience
- Hands-on experience with PyTorch or TensorFlow
- Experience designing and building recommendation systems and search relevance
- Experience in large-scale, user-facing application development (preferably content-related)
- Strong cross-team collaboration and communication skills
- Experience in the content domain
- Publication record at top-tier conferences or journals
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
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Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
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Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
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Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com







