Data Science Engineer (NLP)

Overview

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 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, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About the Role

About the Role

As a Data Science Engineer, you will leverage rich datasets at petabyte scale and state-of-the-art machine learning infrastructure to develop AI-driven products used by tens of millions of cryptocurrency users.

You will collaborate closely with engineers, data analysts, business operations, and product managers to define and deliver solutions, features, algorithms, and products powered by advanced machine learning and data technologies.

Responsibilities

• Apply NLP techniques to preprocess and analyze large-scale textual data, developing and fine-tuning Large Language Models (LLMs) and multimodal models to generate actionable business insights.
• Design, build, and maintain end-to-end machine learning pipelines—including data ingestion, cleaning, feature engineering, model training, evaluation, deployment, and monitoring
• Lead the deployment of ML models in production environments with a focus on scalability, reliability, availability, and low-latency inference, leveraging cloud infrastructure for optimal performance.
• Collaborate with business and technical stakeholders to identify AI opportunities, align initiatives with organizational goals, and communicate insights effectively through data analysis and visualization.
• Stay abreast of the latest AI advancements, particularly in multimodal AI, to continuously integrate cutting-edge technologies into solutions.
• Explore the use of agentic AI to automate detection and monitoring within risk management systems, improving accuracy and response times.

Requirements

Preferred

Why Binance

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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