Binance is a leading global blockchain technology ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We’re trusted by over 280 million people in over 100 countries for our industry-leading security, transparency of user funds, speed of the trading engine, significant liquidity, and unparalleled range of digital asset products. Binance’s 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 technology to build an inclusive financial ecosystem to advance money freedom and improve financial access for people around the world.About the roleAs a Data Science Engineer, you’ll leverage rich petabyte-scale datasets and cutting-edge 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 pre-process and analyze large-scale textual data, and develop and fine-tune large language models (LLMs) and multimodal models to create 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, low-latency inference, and leveraging cloud infrastructure for optimal performance.
• Collaborate with business and technical stakeholders to identify AI opportunities, align initiatives with organizational goals, and effectively communicate insights through data analysis and visualization.
• Stay up to date on the latest developments in AI, particularly in multi-modal AI, in order 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:

• At least 4 years of experience in AI/ML, preferably focusing on NLP and/or multimodal AI, with a Master’s degree or higher in Computer Science, Data Science, or related fields.
• Proficiency in big data technologies (e.g. Apache Spark, Hadoop, Kafka, VectorDB) or similar platforms.
• Proficient in programming languages ​​such as Python or Java, with hands-on experience in ML/NLP libraries and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn, SpaCy, NLTK).
• Strong understanding of modern machine learning and deep learning techniques, including transformer architectures (BERT, GPT), hyperparameter optimization, and methods for dealing with imbalanced data sets.
• Experience optimizing and deploying ML models for low-latency inference in production, familiarity with end-to-end ML deployment processes including version control (Git), continuous integration/continuous deployment (CI/CD), and managing multiple environments (dev, QA, staging, production).

the favorite

• Experience in producing agentic AI systems or similar standalone AI solutions is a plus.
• Previous experience in the e-commerce or technology sectors is highly desirable.

Why Binance?• Shaping the future with the world’s leading blockchain ecosystem • Collaborating with world-class talent in a global, user-centric organization with a flat structure • Tackle unique, fast-paced projects independently in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salaries and company benefits • Work-from-home arrangement (arrangement may vary depending on the nature of a team’s work Employment) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is essential to our success.By submitting a job application, you confirm that you have read and agree to our terms Candidate Privacy Notice.

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