ABOUT THE TEAM
Data sits at the heart of Revolut and plays a uniquely crucial role in what we do. With data we build intelligent real-time systems to personalise our product, tackle financial crime, automate reporting, track team performances and enhance customer experiences.
Fundamentally, data underpins all operations at Revolut and being part of the team gives you the chance to have a major impact across the company – apply today to join our world class data department.
ABOUT THE ROLE
Our Machine Learning Platform Engineers are responsible for developing robust and scalable systems to accelerate our Data Science and Machine Learning functions. They have strong backgrounds in software engineering (full stack or back-end only) and some familiarity with the workflows of Data Scientists and ML Engineers. They are natural enablers and consistently aim to reduce technical debt associated with research and implementation.
We are currently building out our internal research platform and we need strong full stack engineers to contribute. Our research platform will be a cohesive interface to support model prototyping, workload execution (training/validation/prediction) and monitoring of productionized algorithms. We have adopted JupyterHub on Kubernetes as our tools of choice and we need you to build the functionality required to support this vision.
What you'll be doing:
-You will sit within our Product · Data · Research Platform team and you will be collaborating with our Data Scientists and Machine Learning Engineers in order to build and maintain our research platform.
Here are some of the things you will be working on:
- Building a beautiful UI integration in JupyterLab to support intuitive browsing/sharing of research projects
- Developing solutions to support collaboration, versioning and standardization of Jupyter notebooks
- Designing and integrating systems to support on-demand provisioning and remote notebook execution nodes in Kubernetes
- Ensuring our solutions can serve hundreds of users from a variety of backgrounds: Data Scientists, Machine Learning Engineers, Analysts, and even Product Owners
WHAT SKILLS YOU’LL NEED
-Bachelor’s/Master’s/PhD in STEM (Mathematics, Computer Science, Physics, Engineering)
-2+ years experience in full stack development with Python and JS
-Deep knowledge of GCP’s data technologies and ability to build systems on Kubernetes
-Demonstrated rigor in writing clean/understandable code and automated testing
-Experience with open-source technologies: Kafka, Beam, Flink
-Passion for enabling and building solutions to reduce technical debt
-Experience with following Data Bases: (SQL - Exasol, PostgreSQL, BigQuery,NoSQL - DataStore, CouchDB, Redis
Versioning - GIT, Jira, or similar)
-Contributions to Project Jupyter
-Interest in applications of Data Science and Machine Learning
-Experience with prototyping and sketching
A LITTLE ABOUT US
We believe that there are better ways for people to control their money. Easier, fairer ways.
Revolut started in 2015 with card transactions abroad without rubbish exchange rates or hidden fees. We've since added business accounts, vaults, insurance and even access to cryptocurrency exposure.
We reached 5 million customers in June 2019 and we're adding another million every quarter.
WHAT WE ARE LOOKING FOR
From employee 1 to employee 1000, you will be slotting into a global team that shares a number of traits.
You can work autonomously and take ownership. We thrive with the space and responsibility to solve problems.
You operate best without lots of bureaucracy. We don’t hide behind fancy job titles or clunky processes ‘because that’s how things are done’.
You approach work in a logical way. We are not afraid to make mistakes but we use data and logic to backup decisions and improve understanding.
And you share our mission to improve people’s relationship with their money.
• Competitive salary
• Biannual equity bonuses
• Competitive 401(k) plan
• Competitive vacation policy
• Competitive health, dental, and vision benefits.
• All the latest tech you need
• Skip the commute and work from home once a week
• Don’t panic about cooking: get free dinners
Please only submit an application for one posting.