Senior Machine Learning Engineer

About Finom

Finom is a European tech startup headquartered in Amsterdam, and we're on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.

We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.

Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.

At Finom, we're not just redefining the entrepreneurial experience — we're empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.

Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.

At Finom, we're on a mission to transform the financial landscape for small and medium businesses (SMEs) across Europe. We're all about innovation, putting our customers first, and making data-driven decisions. We're building something special - a financial platform that simplifies finance management, eliminates routine tasks and makes life easier for our customers. As we expand, we're looking for a Senior Machine Learning Engineer to join our Data Science & Machine Learning team and help us scale our efforts through data-driven insights and advanced machine-learning models.

• Develop and deploy full-stack ML models (binary classification and regression) to detect and prevent financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment.
• Manage and optimize a portfolio of transaction monitoring rules, improving their efficiency and reducing false positives
• Automate the end-to-end machine learning lifecycle using AutoML approaches
• Work with large datasets from DWH systems (PostgreSQL, Databricks) for analysis and feature engineering
• Contribute to building and improving infrastructure for ML model operationalization and inter-service communication

• Experienced Machine Learning Engineer or Full-stack Data Scientist with a solid track record in delivering production-grade ML solutions - 4-5 years of experience
• Proficient in Python and SQL-based programming
• Skilled in working with cloud-based data platforms such as Databricks
• Experienced in deploying machine learning models and API services (e.g., FastAPI) in production environments
• Strong understanding of system architecture and ability to design scalable ML solutions
• Analytical and critical thinker with a proactive, results-driven mindset
• Comfortable working in fast-paced, start-up environments with minimal supervision
• Educational background in mathematics, engineering, economics, or computer science
• Fluent in English, capable of working in an international environment

Hiring Process:

HR Interview (30 minutes) – An initial conversation to learn more about your experience, motivation, and expectations.

Technical Interview (System Design / Backend) – A deep-dive into your technical expertise, covering system design and experience-related questions.

Take-Home Assignment (Dataset) – A task designed to evaluate your ability to work with datasets and apply technical skills.

Final Interview (60 minutes) – A discussion with Hiring Manager and Head of Machine Learning and Data Science where you'll present your assignment and walk through your decisions.

What You Will Get In Return

Make a genuine impact on the product

Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.

Work in the EU

Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.

Become a stock options holder

Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.

Receive unwavering support and care

Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.

Work & Swim program

Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.

Equal Opportunity Statement 

At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.