Senior Machine Learning Engineer, Younited
2-3 days a week in office (9th arrondissement, Paris)
Instant credit provider for the e-economy in Europe
Be an early applicant
Instant credit provider for the e-economy in Europe
501-1000 employees
Be an early applicant
2-3 days a week in office (9th arrondissement, Paris)
501-1000 employees
Company mission
To transform the lending and payment industry.
Role
Who you are
- Master’s or PhD in Computer Science, Data Science, Applied Mathematics, or a related field
- 3+ years in Machine Learning Engineering, with proven experience deploying and managing production-grade ML systems
- Advanced expertise in Python and ML frameworks (PyTorch, scikit-learn, etc.)
- Deep understanding of Google Cloud Platform (GCP) and its services (Vertex AI, BigQuery, Cloud Functions)
- Mastery of MLOps practices (CI/CD, Docker, model registry)
- Familiarity with generative AI technologies and large-scale model deployment
- Strong ability to document and communicate complex technical workflows
- Strategic thinking and a focus on impactful, scalable solutions
- Proactive and autonomous, with a passion for driving technical excellence
- Collaborative mindset, with the ability to align cross-departmental goals
- Business acumen and result-oriented approach, with a clear understanding of business challenges and the ability to align technical solutions with strategic objectives
What the job involves
- As a Senior Machine Learning Engineer, you will lead the design, deployment, and optimization of ML/AI models across diverse use cases, from credit scoring to document analysis and generative AI.
- You’ll also shape best practices, build tools, and act as a key advocate for ML engineering excellence within and outside the organization
- Model Deployment and Optimization
- Lead the deployment of ML/AI models in production, ensuring scalability, efficiency, and robustness
- Automate and monitor inference pipelines, continuously improving performance
- Infrastructure and Tools Development
- Architect and maintain scalable ML platforms and pipelines (MLOps) for lifecycle management
- Develop and integrate CI/CD solutions tailored to ML workflows
- Optimize cloud resources (primarily Google Cloud Platform) for cost-effectiveness and high performance
- Governance and Best Practices
- Define and enforce best practices in model development, testing, monitoring, and governance
- Ensure traceability, security, and integrity of production models
- Maintain comprehensive and accessible documentation for tools, processes, and pipelines
- Internal Knowledge Sharing and Technology Watch
- Share insights, methodologies, and innovations with internal teams to foster knowledge sharing
- Lead technical workshops and discussions to promote a strong culture of engineering excellence within the company
- Stay at the forefront of ML technologies and frameworks through continuous research and exploration
Application process
- A first video chat with Arthur, Talent Acquisition Manager, to get to know each other and tell you more about Younited, our corporate culture & values (30’)
- An Interview with Guillaume, Head of Data to discuss about the role and expectations (60')
- Online Technical Test
- A Business Case to assess your skills (60')
- An interview with Julien (Lead Data Scientist) & Robin (Lead Analytics Engineer) (60')
Our take
Younited is an instant credit provider that specialises in personal loans, extended payment solutions and budget coaching. The company differs from its competitors in automating request processes as much as possible, using data-driven and AI-based approaches.
Younited takes advantage of DSP2 regulation and open-banking APIs to ingest data, and has been working to embed its product into third-party products like banks and fintech companies. It already has a broad presence in Europe, with operations in France, Italy, Spain, Portugal, Germany and Austria.
The company has attracted significant funding in the past, which it has invested in furthering its technology and nurturing partnerships. This has mainly been with eCommerce websites and apps, notably on "buy now pay later" software.
Steph
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Company benefits
- Localization in the center of Paris (Notre-Dame de Lorette, Paris 9ème)
- A very strong company culture
- An on-boarding tailored made to simplify your integration and meet all the teams
- Monthly events (sport tournaments, conferences, afterworks …)
- 1 day per year offered to do volunteer work in an association
- A Younitour (our company seminar) unforgettable (the last were at Ibiza, or in Sicilia ;))
- Remote policy (8 days per month)
Company HQ
Chaussée-d'Antin, Paris, France
Leadership
Charles Egly
(Co-Founder & Group CEO)Co-founded Olórin Foundation. They are a Board Member and shareholder of Karos, and also a shareholder for Seyna.
Geoffroy Guigou
(Co-Founder & COO)Previously a Consultant at McKinsey and Director of Business Improvement a Poweo.
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