Job Specifications
About The Company
About Cleo
At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating.
Cleo is a rare success story: a profitable, fast-growing unicorn with over $300 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact.
If you’re driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo’s success as we scale, while growing alongside a company that’s scaling fast, this might be your perfect fit.
Follow us on LinkedIn to keep up to date with new product features and insights from the team.
About The Role
Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform.
Ultimately, we’re looking for a brilliant Principal Machine Learning Engineer to join us on our mission to fight for the world's financial health. You’ll be leading technical work within a team of adaptable, creative and product-focused engineers, who train & integrate cutting edge machine learning across a variety of products and deploy them into production for millions of users. We understand our customers, we understand their pain, and we are passionate about helping them.
Check out this blog on Isabelle's journey in ML at Cleo.
What you'll be doing
Training and fine-tuning models to solve customer problems across our chatbot and the bank transaction data behind it.
Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog: Let's have an Espresso: MLOps at Cleo. Or integrate with LLMs hosted by OpenAI, Anthropic, GCP, AWS and others.
Working cross-functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users’ financial health.
Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood. Driving change at the pillar and chapter level that affects multiple squads.
Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques and communicating the team’s successes and learnings at the company level & beyond.
Mentoring & advising colleagues on their choices of models, architecture, and evaluation, promoting best practices for how we use LLMs.
Here Are Some Examples, Big And Small, Of The Kinds Of Product Feature Work Our ML Engineers Have Taken Part In Over The Last Year
Building AI Agents to explore and derive insights from users transactional data
Developed deeper understanding of users finances through models extracting meaning from transactional data. Think about your bank statement, how often do you not know what a transaction is?
Developed contextual intent classifiers to understand what conversations users are having with Cleo, enabling control of how Cleo should respond
Building ML models to understand the actions that users have available to them in Cleo and provide those contextually in conversations
Built ML models to understand the risk of customers using bank transaction features and user activity
Built models to optimise the payment success for our customers and optimising the costs for the business. Think of this as a two-sided optimisation problem.
Whatever problem you tackle, and whichever team you join, your work will directly impact those most in need, helping to improve their financial health.
What we're looking for
Experience in industry machine learning roles where you guided the technical approach taken by a team or department, for example as a tech lead or principal/staff engineer
Breadth of knowledge about NLP models and LLMs, with a track record of impactful projects using them.
Excellent knowledge of Python for both data science and production code
Top tier communication skills, to be able to partner with Product and Engineering Leaders
Big picture thinking to correctly diagnose problems and productionise research
Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects
Advanced Degree in a quantitative discipline
An understanding of probability and statistics fundamentals
What do you get for all your har
About the Company
Cleo. Where AI meets money.
Cleo launched in 2016 by people who have been burned by banks. Fed up with the broken system, we decided it was time to make a change.
Since then, the cost of living has skyrocketed, the rich have continued getting richer, and our vision has only become clearer.
Our mission? To change the world's relationship with money.
Cleo is a platform for the 99% – an AI assistant defining a new category, one that goes beyond saving and budgets to actually changing how we feel about our finances.
Usi...
Know more