
Tech Lead Machine Learning Manager - Payments
Primary stack
Nice to have's
Job description
About the Position
Tech Lead Machine Learning Manager - Payments
Most money apps talk at you. Cleo talks back ✨
We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance.
The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money.
We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in.
Follow us on LinkedIn for new features and the occasional roast 🔥
Responsibilities
- Lead and manage a team of 4 MLEs
- Deploy machine learning models into production - classifiers, payments recommendation systems, and any other model that can have impact, typically working with tabular data rather than language models
- Collaborate with product managers, backend engineers, and analysts, playing an active role in planning and sequencing work for the squad
- Work closely with engineers to make sure the right data is collected to build future machine learning models
Requirements
- At least 5 years of experience in data science, ML engineering, or related roles
- At least 1 year of management experience, ideally of a small team
- Ability to write production-quality Python code
- Experience deploying machine learning models into production
- Track record in payments, pricing, risk decisioning, or other business process optimisation problems
- Comfortable with complexity, and developing a holistic understanding of a system in order to propose and build solutions
- A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner
Nice to Have
- Experience with credit collections
We Offer
We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health, dental and vision insurance, mental health support, a paid one-month sabbatical after four years, a learning and development platform, pension or retirement contributions, and location-specific leave entitlements.
For the full breakdown on what's available in your location, visit our Candidate Hub 👈
About the Company
Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their metrics.
We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know.
We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!
© Cleo. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Cleo is the world’s first AI assistant dedicated to helping you live beyond your next pay check. She’s engaging and super smart, understanding your unique financial situation to provide personal advice and tools that a bank never could.
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