Principal Machine Learning Engineer, Cleo AI
+ Equity
More information about location
AI personal finance assistant
Be an early applicant
AI personal finance assistant
201-500 employees
Be an early applicant
+ Equity
More information about location
201-500 employees
Company mission
To change the world’s relationship with money.
Role
Who you are
- 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 the job involves
- 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
- 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
- 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
Salary benchmarks
Our take
People are increasingly not satisfied with the products being offered by traditional banks, which have proven slow to react to the needs of younger consumers who expect more from their everyday experiences.
Cleo was one of the first companies to make great use of chatbots that sit within Facebook's messenger app. This chatbot-first approach and Gen Z user base have given it strong virality. It now has millions of registered users, 99% of which are based in the US, leading to a decision to take a year break from the UK market to focus on its US Gen Z customers. And after a successful year in the US its now eyeing up a return to the UK.
Its Series C funding will help the company to double down in the US, where it will make a significant increase in employee headcount, and enable Cleo to maintain and expand its service during an economic downturn.
Financial advice delivered via bots is a crowded space, so Cleo benefits from having a strong brand presence. It has gone for very bold, fun, Gen Z-focused messaging which helps it to stand out from competitors such as Emma, Plum, and Chip.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jun 2022
$80m
SERIES C
Dec 2020
$44m
SERIES B
Total funding: $137.5m
Company benefits
- Learning and development
- Mental health support
- Agile working
Company values
- Make it Happen
- No bullsh*t
- Learn at Speed
- Bring Good Vibes
Company HQ
London, UK
Leadership
Barnaby Hussey-Yeo
(Founder & CEO)Previously a Data Scientist at Wonga, one of the companies that pioneered the smart use of data for loan decisions. Joined Entrepreneur First where Cleo was formed.
Diversity, Equity & Inclusion at Cleo AI
Annie Jackson (Head of Talent )
- We’ve set up an internal committee of truly passionate people that are dedicated to ensuring Diversity and Inclusion is embedded in how we all operate as a team. We agree on meaningful actions, and get on with implementing them. We have three main focuses right now, which are:
- 1) Improving SocioEconomic diversity across the company
- 2) Increasing the number of women in Leadership roles
- 3) More community outreach
- Check out our 2022 Diversity and Inclusion report, here: https://web.meetcleo.com/blog/cleo-diversity-equity-and-inclusion-report-2022
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