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Описание вакансии
Текст:
TL;DR
Algorithm Engineer (AI Recommendation & Search): Designing and managing search recommendation services and machine learning models for content matching, personalization, and distribution efficiency with an accent on large-scale user-facing applications and content-domain recommendation systems. Focus on developing core recommendation modules, defining data-driven success metrics, and improving content experience and business outcomes through cross-functional collaboration.
Location: Remote-first, with the role available in APAC, Australia, Hong Kong, Singapore, or Taiwan
Company
Binance operates a global blockchain and digital-asset ecosystem covering trading, finance, education, research, payments, and institutional services.
What you will do
- Design and manage search recommendation services and models supporting content development.
- Apply machine-learning personalization methods and design patterns to improve content matching and distribution.
- Develop core content recommendation modules using data-driven strategies.
- Use recommendation-system and content-domain expertise to improve AI products, user experience, and business outcomes.
- Collaborate with content, business, and product teams to identify opportunities and define success metrics.
Requirements
- MSc or PhD in Machine Learning, Computer Vision, Computer Science, Applied Mathematics, or a related field.
- At least 5 years of relevant industry experience; content-domain experience is preferred.
- Strong practical experience with machine-learning frameworks such as PyTorch or TensorFlow.
- Experience developing large-scale, preferably content-related, user-facing applications.
- Strong cross-team collaboration skills and the ability to work with global content teams.
Nice to have
- Publications in top-tier conferences or journals.
Culture & Benefits
- Remote-first, work-from-home arrangement, subject to the role and team.
- Work with global colleagues in a user-centric organization with a flat structure.
- Autonomy on challenging projects in a fast-paced environment.
- Career growth and continuous learning opportunities.
- Competitive salary and company benefits.
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