Principal Machine Learning Engineer - Chat

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.

About Cleo

Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This 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.

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 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.
• Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state-of-the-art techniques and communicating the team’s successes at the company level & beyond.
• Mentoring & advising colleagues on their choices of models, architecture, and evaluation.

What you’ll need:

• Experience in industry machine learning roles as a technical leader or principal/staff engineer.
• Excellent knowledge of both Data Science (python, SQL) and production tools.
• A deep understanding of probability and statistics fundamentals.
• Big picture thinking to correctly diagnose problems and productionising research.
• Top tier communication skills to partner with Product and Commercial Leaders.
• Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects.

Nice to have:

• Strong experience with additional programming languages, such as Java, Scala, C++.

What do you get for all your hard work?

• A competitive compensation package (base + equity) with bi-annual reviews.
• Work at one of the fastest-growing tech startups, backed by top VC firms.
• A clear progression plan.
• Flexibility: We work with everyone to make sure they have the balance they need to do their best work. Work where you work best.
• Other benefits; 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo).