Machine Learning Engineer, NLP

Binance is a well-known global blockchain ecosystem home to the largest cryptocurrency exchange in terms of trading volume and registered users. With a wide reach of over 280 million people across 100+ countries, we are recognized for our top-notch security measures, transparent user fund management, fast trading engine, deep liquidity, and a diverse range of digital-asset products. Our offerings span from trading and financial services to education, research, payments, institutional solutions, Web3 features, and more. We harness the potential of digital assets and blockchain technology to create a comprehensive financial ecosystem that promotes financial inclusivity and enhances access to financial services worldwide.

About the Role

As a Machine Learning Engineer, you will utilize extensive datasets at a petabyte scale and advanced machine learning infrastructure to develop AI-powered products for millions of cryptocurrency users. Collaboration with engineers, data analysts, business operations, and product managers will be integral in shaping and delivering solutions, features, algorithms, and products driven by cutting-edge machine learning and data technologies.

Responsibilities:

• Employ NLP techniques to preprocess and analyze large-scale textual data, developing and fine-tuning Large Language Models (LLMs) and multimodal models for actionable business insights.
• Create, maintain, and optimize end-to-end machine learning pipelines covering data ingestion, cleaning, feature engineering, model training, evaluation, deployment, and monitoring.
• Oversee the deployment of ML models in production environments with a focus on scalability, reliability, availability, and low-latency inference utilizing cloud infrastructure.
• Work closely with stakeholders to identify AI opportunities aligned with business objectives, and convey insights through effective data analysis and visualization.
• Stay updated on the latest advancements in AI, especially in multimodal AI, to integrate state-of-the-art technologies into solutions continually.
• Investigate the application of agentic AI for automating detection and monitoring within risk management systems to enhance accuracy and response times.

Requirements:

• At least 4 years of industry experience in AI/ML, with emphasis on NLP and/or multimodal AI, complemented by a Master’s degree or higher in Computer Science, Data Science, or related fields.
• Proficiency in big data technologies like Apache Spark, Hadoop, Kafka, VectorDB, or similar platforms.
• Strong programming skills in Python or Java, hands-on experience with ML/NLP libraries, and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, SpaCy, NLTK.
• Sound knowledge of modern machine learning and deep learning techniques, transformer architectures (BERT, GPT), hyperparameter optimization, and strategies for handling imbalanced datasets.
• Experience in optimizing and deploying ML models for low-latency inference in production, familiar with end-to-end ML deployment processes including version control (Git), CI/CD, and managing multiple environments.

Preferred:

• Background in deploying agentic AI systems or similar autonomous AI solutions is advantageous.
• Previous experience in e-commerce or technology sectors is highly preferred.

Why Binance

• Drive the future with a leading blockchain ecosystem globally
• Collaborate with exceptional talents in a user-centric international organization with a flat hierarchy
• Engage in challenging and unique projects with independence within an innovative setting
• Thrive in a results-oriented environment with growth opportunities and continuous learning
• Competitive salary and attractive company benefits
• Remote work option available based on business team requirements

Binance is dedicated to fostering diversity and is an equal opportunity employer, firmly believing that a diverse workforce is essential for our success. By applying for this position, you acknowledge that you have read and agree to our Candidate Privacy Notice. We may employ AI tools for parts of the hiring process to enhance recruitment procedures. Please reach out to us for more information on data processing.