AI Platform Engineer (Serverless Training and Inference)

About 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 80+ 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 15,000+ 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 Our Technology team builds the systems and experiences that keep Revolut moving.

From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do. We’re looking for a Senior AI Platform Engineer to focus on serverless model training and inference. As part of the AI team that's driving innovation and powering products, you'll be developing the core infrastructure behind our central platform that empowers our data scientists and engineers to solve tomorrow's challenges today. Up to shape what's next in finance? Let's get in touch.

Designing and building self-service platforms for model training, distributed training, and inference on shared GPU infrastructure

• Developing APIs, SDKs, and workflows that automate workload submission, infrastructure provisioning, and execution
• Building orchestration and distributed execution capabilities using Flyte, Ray, or equivalent technologies
• Implementing workload scheduling, queueing, resource allocation, and autoscaling across Kubernetes-based GPU environments
• Building reliable workload lifecycle management, including checkpointing, retries, failure recovery, and cancellation
• Establishing monitoring, multi-tenant isolation, and cost visibility to improve platform reliability and GPU utilisation What you'll need
• Impressive Python engineering skills, and a track record of designing, building, and operating scalable backend platforms in production
• Experience building or extending ML platforms for training or inference on GPU infrastructure
• Expertise with Kubernetes, containerised workloads, and cloud infrastructure
• Familiarity with workflow orchestration and distributed execution frameworks, such as Flyte, Ray, or equivalent technologies
• An understanding of distributed training, GPU resource allocation, workload scheduling, and autoscaling
• Experience designing reliable distributed systems with fault tolerance, observability, and operational ownership
• A degree in a STEM subject or equivalent practical experience, with solid computer science fundamentals and software engineering practices Compensation range
• Poland: PLN39,100
• PLN56,600 gross monthly
• - Austria: €120,700 - €184,000 gross annually
• - Lithuania: €7,900 - €12,400 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

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