Full Stack Engineer - Recommendation Engine (APAC Remote)
- Hong Kong +3
- Remote
- Mid Level
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- recommendation / search / ads
- AI coding tools
- Cursor
- Copilot
- Claude
- Code
- full stack development
- Go
- Java
- high-concurrency systems
- multithreading
- locking
- asynchronous programming
- React
Preferred
- iOS / Android / Web
- LLM-based
- generative content creation
- Cross-platform development
- GitHub
- data integration
- AI coding
- backend ranking
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice
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.
About Binance
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.
The Recommendation Engine team builds the personalized UI and content across Binance's App and Web — personalized content, adaptive layouts, and recommendation-driven components that make the product feel tailored to each user. Our systems serve 300+ million users worldwide with real-time, relevant, personalized content across all major App/Web surfaces, from home page to user center, trading, markets, and account views. We own the full path: data integration, candidate generation, ranking, serving, and the frontend rendering that puts recommendations in front of users.
Collaborate with world-class talent in a user-centric global organization with a flat structure
Responsibilities
- Own recommendation features end to end — data integration, backend ranking and serving, and the frontend surfaces — from spec to deployment, and drive the system through experimentation, measurement, and iteration.
- Partner with data, algorithm, and business teams to design recommendation strategies and experimentation plans — multi-layered strategies, personalized content delivery, strategy comparison, and data tracking solutions.
- Use mainstream AI coding tools (Cursor, Copilot, Claude Code) as a core part of your daily workflow to maximize development efficiency.
Requirements
- Bachelor's or above, preferably in Computer Science or Software Engineering; 5+ years of full stack development, with exposure to recommendation, search, or ads systems a plus.
- Proficient in Go with working knowledge of Java; deep understanding of high-concurrency systems, multithreading, locking, and asynchronous programming.
- Experienced in building high-availability, high-performance systems; strong grasp of load balancing, fault tolerance, and graceful degradation.
- Solid understanding of data storage infrastructure — relational databases, caching, and messaging systems — including schema design and query optimization.
- Proficient in React, with hands-on experience building and integrating complete pages and components; familiar with frontend state management, dynamic components, and modern build workflows.
- Mindful of security across frontend and backend — authentication, authorization, input validation, and protection against common vulnerabilities.
- Proficient with AI coding tools (Cursor, Copilot, Claude Code) — able to state requirements and constraints clearly to AI, and to review, validate, and correct AI-generated code.
- Self-driven and comfortable operating without clear boundaries; able to turn vague ideas into clear specs and drive them forward. Strong logical thinking and communication, proactive problem-solving, and a genuine passion for learning new technologies.
Preferred
- Experience with LLM-based generative content creation.
- Feature engineering for recommendation, search, or ads systems.
- Cross-platform development experience (iOS/Android/Web).
- Open-source contributions or notable GitHub projects.
- Why Binance
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Benefits
Shape the future of finance
- Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
- Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)
