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Binance

Runs a global cryptocurrency trading exchange

Algorithm Engineer - Search & Recommendation

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A Master of Science or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics.
  • At least 5 years of relevant industry experience.
  • 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.
  • Ability to collaborate across teams and work effectively with global content teams.

Responsibilities

  • Design and manage search recommendation services and models to support the content team and empower content ecosystem development.
  • Use machine-learning-based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency.
  • Apply knowledge of recommendation systems in the content domain and business knowledge to drive AI product upgrades and improve content experience and business outcomes.
  • Lead 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 in content scenarios and jointly define success metrics.

Desired Qualifications

  • Experience in the content domain.
  • A publication record at top-tier conferences or journals.

About the Company

Binance

Runs a global cryptocurrency trading exchange

Binance runs a cryptocurrency exchange for individual traders and institutions, with markets for buying digital assets outright and trading contracts tied to their prices. Its platform combines spot trading with margin, futures, and options tools, letting users manage several trading strategies through a single account. Customers also buy crypto using supported payment methods, track market prices, and manage portfolios through its website and mobile app. Binance earns trading fees, with rates based on trading volume, account tier, and the type of transaction, and runs research and education services for people learning about digital assets. The business launched in July 2017.

Company size
5,001-10,000
Company stage
Growth Equity (Venture Capital)
Total funding
$2B
Headquarters
Decentralised
Founded
2017

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