Jobs and Careers
QO
AI Product Intern
QontoFranceinternshipVerifiedPosted 4 Dec 2025
About the role
Our mission? Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe’s leading finance workspace. We combine business-class tools (seamless invoicing, spend management, and pre-accounting) with unwaveringly attentive 24/7 support, designed to help businesses breeze through all things finance.
Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!
Our values:Customer focus | Prioritize customers in everything you doOwnership | Own your part, get things doneTeamwork | Make (team)work easyMastery | Continuously raise the barIntegrity | Always do what’s right, and respect people
Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 55% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.
Discover the steps we took to create a discrimination-free hiring process.
Join us as an AI Product Intern to build and test cutting-edge ML and GenAI features for 600,000+ businesses across Europe. Work on experimental projects from OCR systems to conversational AI agents, exploring LLMs while contributing to production-grade machine learning.You will work closely with Marianne Ducournau (Head of AI Products) or Benjamin Wolter (Head of AI Products) , joining a team of 10+ ML engineers and data scientists building Qonto's AI capabilities.
👩💻 As an AI Product Intern at Qonto, you will:Marianne's Team - Conversational AI & Experimental Projects:• Develop conversational AI agents to ease Qonto’s client experience (cashflow insights, etc)• Improve ML/genAI applications for business finance (transaction labelling, accounting)• Explore greenfield ML/genAI applications for business financeBenjamin's Team - Document Matching & ML-enhanced OCR:• Experiment with LLM approaches to improve OCR models• Build proof of concepts for GenAI document matching applications• Support production systems through data wrangling, labeling, and code ticketsBoth teams:Work with modern ML stack: Python, SQL, LLMs, Snowflake, Airflow, AWSCollaborate with Product and Engineering teamsParticipate in team rituals
🤔 What you can expect:• Real impact: Your POCs directly inform product decisions affecting Qonto's customers• Modern tech stack: Python, Cursor, Snowflake, AWS, latest LLM frameworks• Learning environment: Weekly mentorship, exposure to experimental and production ML• Growth potential: Strong learning development
🤝 Your Future Managers:Marianne Ducournau (Paris), graduated from Ecole Polytechnique, Head of AI Products, leads Conversational AI and experimental projects. Benjamin Wolter (Barcelona), Head of AI Products, leads Document Matching & ML-enhanced OCR, exploring how GenAI can revolutionize document processing.
What do they bring to the team?As experts in their field, they have hands-on experience in implementing Data Science models to serve cross-functional teams and deliver actionable insights. They also have passion for mentoring and coaching the team.
🏅 About You:Must-have:Python & SQL prof
Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!
Our values:Customer focus | Prioritize customers in everything you doOwnership | Own your part, get things doneTeamwork | Make (team)work easyMastery | Continuously raise the barIntegrity | Always do what’s right, and respect people
Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 55% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.
Discover the steps we took to create a discrimination-free hiring process.
Join us as an AI Product Intern to build and test cutting-edge ML and GenAI features for 600,000+ businesses across Europe. Work on experimental projects from OCR systems to conversational AI agents, exploring LLMs while contributing to production-grade machine learning.You will work closely with Marianne Ducournau (Head of AI Products) or Benjamin Wolter (Head of AI Products) , joining a team of 10+ ML engineers and data scientists building Qonto's AI capabilities.
👩💻 As an AI Product Intern at Qonto, you will:Marianne's Team - Conversational AI & Experimental Projects:• Develop conversational AI agents to ease Qonto’s client experience (cashflow insights, etc)• Improve ML/genAI applications for business finance (transaction labelling, accounting)• Explore greenfield ML/genAI applications for business financeBenjamin's Team - Document Matching & ML-enhanced OCR:• Experiment with LLM approaches to improve OCR models• Build proof of concepts for GenAI document matching applications• Support production systems through data wrangling, labeling, and code ticketsBoth teams:Work with modern ML stack: Python, SQL, LLMs, Snowflake, Airflow, AWSCollaborate with Product and Engineering teamsParticipate in team rituals
🤔 What you can expect:• Real impact: Your POCs directly inform product decisions affecting Qonto's customers• Modern tech stack: Python, Cursor, Snowflake, AWS, latest LLM frameworks• Learning environment: Weekly mentorship, exposure to experimental and production ML• Growth potential: Strong learning development
🤝 Your Future Managers:Marianne Ducournau (Paris), graduated from Ecole Polytechnique, Head of AI Products, leads Conversational AI and experimental projects. Benjamin Wolter (Barcelona), Head of AI Products, leads Document Matching & ML-enhanced OCR, exploring how GenAI can revolutionize document processing.
What do they bring to the team?As experts in their field, they have hands-on experience in implementing Data Science models to serve cross-functional teams and deliver actionable insights. They also have passion for mentoring and coaching the team.
🏅 About You:Must-have:Python & SQL prof
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