Binance Accelerator Program - Search & Recommendation Data scientist

Binance is a prominent global blockchain ecosystem responsible for the world's largest cryptocurrency exchange, serving over 300 million users across 100+ countries. Our platform is known for its exceptional security measures, transparent user funds management, fast trading engine, deep liquidity, and extensive range of digital asset products. At Binance, we offer diverse services from trading and financial solutions to education, research, payment services, institutional features, Web3 functionalities, and more. Through harnessing the potential of digital assets and blockchain technology, we strive to create an inclusive financial environment that enhances financial freedom and accessibility for individuals worldwide.

About Binance Accelerator Program

The Binance Accelerator Program is a well-structured program intended for Early Career Talent, providing a comprehensive immersion into the rapidly evolving Web3 sector. This program offers participants the chance to experience the inner workings of Binance, the leading blockchain network globally. In addition to gaining practical experience, the program emphasizes networking and skill development to expand professional networks and equip participants with versatile skills essential for career advancement.

Who may apply

This opportunity is open to current university students and recent graduates.

Responsibilities

• Support senior algorithm engineers in designing and maintaining search and recommendation services and models in content-related scenarios, assisting the content team to enhance the content ecosystem.

• Aid in enhancing content matching accuracy and distribution efficiency by utilizing machine learning-driven personalization techniques, and contribute to basic model tuning and impact assessment.

• Acquire knowledge of recommendation system principles in the content domain, collaborate in AI product development to elevate user content experience and key business metrics.

• Contribute to the development and deployment of core content recommendation modules, and help implement data-centered strategies for optimizing content value and user engagement.

• Collaborate with content, business, and product teams to identify and capitalize on opportunities in content scenarios, collaborating on defining core success metrics.

Requirements

• Currently pursuing a degree in Machine Learning, Computer Vision, Computer Science, Applied Mathematics, Data Science, or related fields at the Bachelor's, Master's, or PhD level.

• Proficient in Python with a solid programming foundation, well-versed in at least one mainstream machine learning framework, and possess a grasp of fundamental machine learning algorithm theories.

• Basic understanding of search and recommendation system fundamentals, with a preference for relevant coursework, competition experience, or campus project involvement.

• Proficient in SQL for handling large-scale data cleaning and aiding in feature engineering, showcasing strong hands-on abilities.

• Strong problem-solving skills, quick learning capability, exceptional cross-team communication skills, commitment to a minimum of 6 months full-time internship.

• Preferred Qualifications: Record of publications or submissions to top-tier conferences/journals, internship experience related to search & recommendation systems, involvement in content-focused recommendation system projects.

Why Binance

• Shape the future by working within the world's foremost blockchain ecosystem.

• Collaborate with top-tier professionals in a user-centric global organization that fosters a flat structure.

• Engage in unique, fast-paced projects autonomously in an innovative workplace.

• Evolve in a results-driven atmosphere that promotes career growth and continuous learning.

• Embrace competitive salary packages and company benefits.

• Opportunity for a work-from-home arrangement (subject to business team requirements).

Binance upholds a commitment to maintaining an equal opportunity workplace, understanding that diversity is foundational to our success.

By submitting an application, you agree to our Candidate Privacy Notice. Artificial intelligence tools may be utilized to support parts of the hiring process, but final hiring decisions are made by humans. If you require more information about data processing, please reach out to us.