Machine Learning Engineer | San Francisco jobs in United States
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Cleo · 10 hours ago

Machine Learning Engineer | San Francisco

Cleo is a fast-growing fintech company on a mission to change humanity's relationship with money by providing a hyper-intelligent financial advisor. They are seeking a Machine Learning Engineer to develop innovative solutions such as chatbots and classifiers to enhance user financial health and optimize transactions.

Artificial Intelligence (AI)FinanceFinancial ServicesFinTech
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H1B Sponsor Likelynote

Responsibilities

Designed and implemented AI agents to analyse and extract insights from users’ transactional data
Developed models to interpret transactional data, enhancing the understanding of users’ finances. Think about your bank statement—how often do you not recognise a transaction on first review?
Created contextual intent classifiers to understand user conversations with Cleo, enabling tailored and accurate platform responses
Engineered ML models to identify and deliver relevant actions to users within Cleo, ensuring a seamless, context-aware conversational experience
Built models to evaluate risk in customer interactions with bank transaction features and user activities
Developed optimisation models to improve payment success rates for customers while minimising business costs, tackling this as a two-sided optimisation challenge

Qualification

Machine LearningData SciencePythonSQLProbabilityStatisticsModel DeploymentBig Picture ThinkingIndustry ContributionsDockerCommunication Skills

Required

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 be able to partner with Product and Commercial Leaders
Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects
3+ years of experience in data science, machine learning engineering, or related roles
Strong ability to communicate findings to non-technical stakeholders
Experience deploying machine learning models into production; familiarity with Docker containers and container orchestration tools is a plus

Benefits

401k matching up to 6%
Healthcare plan
15 days annual leave a year (pro-rata) plus public holidays + 1 additional day of holiday for every year you spend with us up to a maximum of 20 days in total
1 months paid sabbatical after every 4 years at Cleo
18 weeks full pay maternity/primary caregiver leave, 12 weeks full pay paternity leave
Enhanced sickness, compassionate, bereavement, pregnancy loss leaves
Online courses to level up your skills like coding, SQL etc and we’ll pay for your OpenAI subscription
Access to Spill - remote mental health support
Expand your knowledge with access to cutting-edge online courses

Company

Changing the world’s relationship with money.

H1B Sponsorship

Cleo has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2023 (1)
2022 (2)
2021 (1)

Funding

Current Stage
Growth Stage
Total Funding
$137.5M
Key Investors
SofinaEQT VenturesTriplePoint Capital
2022-06-16Series C· $80M
2020-12-10Series B· $44M
2019-06-17Debt Financing

Leadership Team

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Barnaby Hussey-Yeo
Founder and CEO
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Company data provided by crunchbase