Lead Machine Learning Engineer, Cleo AI
Risk Decisioning
£110.4-150k
Salary dependent on location + Equity
More information about location
AI personal finance assistant
Open for applications
AI personal finance assistant
501-1000 employees
Open for applications
£110.4-150k
Salary dependent on location + Equity
More information about location
501-1000 employees
Company mission
To change the world’s relationship with money.
Role
Who you are
- Extensive experience building and deploying Machine Learning models to production
- Experience managing and developing high performing teams of data scientists and ML engineers
- Habits of keeping abreast of the latest research and experimenting productively with new technologies, including LLMs and LLM agent design
- Experience owning an ML roadmap, driving new ideas through to seeing business impact
- Ability to write production quality Python code and a willingness to be somewhat hands on
Desirable
- Domain knowledge of NLP, including evaluating LLM systems and fine tuning LLMs or other transformer models
- A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner
- Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos
- Experience using vector databases such as OpenSearch
What the job involves
- Youʼll join the existing Risk Decisioning data science function here at Cleo; a thoughtful and collaborative team of ML engineers, analysts, and data engineers with significant industry experience that is at the heart of everything we do at Cleo. Youʼll build and deploy production models that developers will feed directly into the product
- This position is essential in the expansion of both product and business. We are highly data driven, whether that be understanding natural language, deriving insights from financial data, or determining which financial product is best suited to a user. We have interesting problems to solve on an ever-increasing scale
- Youʼll be working on a hugely impactful workstream, focused on the machine learning that underpins our Chat feature
- Understanding core problems faced by our Risk Decisioning team and coordinating the ML function’s contribution to solving them
- Finding opportunities for model and product improvements in Cleo's extensive datasets of customer behaviour
- Youʼll be responsible for people management of the ML engineers in your squads, coaching and developing them to deliver on the roadmap
- You’ll build out the headcount plan and will be responsible for all hiring and team development within your area to support our growth
Application process
- Interview with a Recruiter (30 mins)
- Interview with the Hiring Manager (30 mins)
- Python Programming Interview (45 mins)
- White-boarding session (60 mins)
- Technical Discussion (45 mins)
- Management Skills Interview (60 mins)
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 6 rounds)
Jun 2022
$80m
SERIES C
Dec 2020
$44m
SERIES B
Total funding: $137.7m
Company benefits
- Meaningful equity with early exercise, plus top-ups on promotion
- Primary caregiver: 18 weeks at full pay / Secondary caregiver: 6 weeks full pay, 6 weeks half pay (dependant on tenure)
- Paid 1-month sabbatical every 4 years
- Comprehensive health, dental & vision insurance
- Learning & development training platform
- Mental health support via Spill
- Company-wide performance reviews every 4 months
- We’ll cover your OpenAI or Claude subscription
- Pension match up to 6%
- Life assurance
- 25 days annual leave + an extra day for every year you’re at Cleo (up to five accrued days)
Company values
- Make it Happen - Own the outcome. Lend a hand, take a hand. Fast execution.
- No bullsh*t - Intellectually honest. Go hard on problems, not people. Data-backed decision making.
- Learn at Speed - Jump in and figure it out. Dig deep, do it right. Learn what matters.
- Bring Good Vibes - Read the room, lift the room. Show up for others. Keep it real, keep it positive.
Company HQ
Finsbury, 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
- 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
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