Deep Learning Engineer (Applied Research)
Revolut
This job is no longer accepting applications
See open jobs at Revolut.See open jobs similar to "Deep Learning Engineer (Applied Research)" FinTech Australia.Deep Learning Engineer (Applied Research)
Office: Barcelona · Krakow · Lisbon · London · Madrid · Porto · Vilnius Remote: Lithuania · Poland · Portugal · Romania · Spain · UKAbout Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 50+ million customers get more from their money every day.
As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role
Deep Learning Engineers at Revolut are at the forefront of GenAI and large language model integration, building transformative products that range from user-facing tools to advanced process optimisation and data understanding solutions. You’ll work with advanced LLMs, developing solutions that have a tangible impact on millions of Revolut customers worldwide.
We're looking for a Deep Learning Engineer (NLP) to join our AI department and help drive the development of our proprietary LLM and the supporting systems around it. This is a hands-on, high-impact role at the intersection of cutting-edge research and real-world application.
Up to shape the future of finance? Let's get in touch.
What you'll be doing
- Leading the design and development of our in-house LLM, from architecture and training to deployment
- Building the full interface layer and orchestration framework that enables seamless interaction with our LLM
- Creating an agentic framework for intelligent task execution, coordination, and reasoning
- Conducting applied research in NLP, LLMs, and generative AI to solve complex problems and continuously improve model performance
What you'll need
- Experience in training, fine-tuning, and deploying large language models
- A solid background in machine learning, deep learning, and natural language processing
- Proficiency in Python and deep learning frameworks
- A bachelor's degree in a STEM subject
- A deep understanding of probability and statistics fundamentals
- Big-picture thinking to correctly diagnose problems and productionising research
- An applied research mindset with the ability to read, implement, and improve upon state-of-the-art academic work
Nice to have
- Experience designing and building agentic or multi-agent systems
- A master's or PhD in a quantitative discipline
- Expertise in additional programming languages, such as Java, Scala, or C++
Compensation range
- Vilnius: €6,300 - €9,300 gross monthly*
- Lithuania: €6,300 - €9,300 gross monthly*
- Other locations: Compensation will be discussed during the interview process
*Final compensation will be determined based on the candidate's qualifications, skills, and previous experience
Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.
• Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment.
• Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
This job is no longer accepting applications
See open jobs at Revolut.See open jobs similar to "Deep Learning Engineer (Applied Research)" FinTech Australia.