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Revolut is a global fintech company on a mission to deliver more visibility, control, and freedom around money. With 80+ million customers and 13,000+ employees worldwide, the company offers a suite of products including spending, saving, investing, exchanging, and travel services.
The Data Science team solves complex problems with practical solutions that improve customer experience. This role focuses on deep learning and generative AI, positioning the engineer at the forefront of LLM integration and building transformative products that impact millions of customers globally.
You will work as a Deep Learning Engineer developing AI-driven features from scratch, including personal assistants, chatbots, and copilots. Responsibilities include:
• Building AI-driven features like personal assistants, chatbots, copilots, and similar tools
• Developing user-facing and backend features using deep learning techniques
• Delivering impactful, scalable, data-driven AI solutions
• Collaborating cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers
• Integrating cutting-edge AI technologies to drive innovation
• Solving deep learning challenges in production environments
You will collaborate with Product, Engineering, and Data teams to deliver automated, scalable solutions that elevate customer interaction and revolutionize Revolut's AI-driven capabilities.
REQUIREMENTS:
• Experience in deep learning within natural language processing and large language models
• Bachelor's degree in a STEM major (mathematics, computer science, engineering)
• Excellent knowledge of data science (Python, SQL) and production tools
• Deep understanding of probability and statistics fundamentals
• Big-picture thinking to diagnose problems and productionize research
• Excellent communication and collaboration skills to partner with Product Owners and business heads
NICE TO HAVE:
• Master's or PhD in a quantitative discipline
• Solid experience with additional programming languages (Java, Scala, C++)
• Experience at a large tech company valued at >$15B
• School/university Olympic medal in physics, maths, economics, or programming
