Milan | Engineering | Full-time

Senior
Machine
Learning
Engineer

Love always drives what we do, we’re passionate about our jobs, care about our colleagues, and are devoted to our customers. Our mission is to become the most loved European financial service provider. We’re already expanding rapidly into new countries, and we’re not done yet. We have big plans. And that’s where you come in.

Mollie is on an exciting journey. Our mission is to become the most loved Payment Service Provider in Europe.

The Data Domain comprises four teams: Data Science (DS; including ML Engineering); Data Engineering, Analytics Engineering, and Data Governance. In this central Domain, we enable Mollie and its Merchants to create value from data by providing a central data platform, data models, and machine learning (ML) models.

Your Opportunity

We are looking for a Senior ML Engineer to join our growing team of Data Scientists (DSs) & Machine Learning Engineers (MLEs). Our team is set up as a central entity that provides advanced analytics capabilities across Mollie. We primarily develop predictive ML models that provide decision intelligence to our colleagues in various departments, such as Product, Operations, and Commerce. We also developed and now maintain a cloud-based ML Platform, which we use for both model development and production.

This is a hands-on role, where you will spend most of your time developing in Python together with our team of MLEs and DSs. You will also be interfacing directly with peers in Product & Engineering, including active participation in the Data Domain Architecture Guild.

This role is based at Mollie’s new Milan Hub. You will be part of a geographically-distributed team (Amsterdam/Lisbon/Milan) that is comfortable collaborating virtually & hybrid.

What you'll be doing

As a Sr ML Engineer, you will be working closely with other ML Engineers, Data Scientists, and various engineers across Mollie
Lead the design and development of scalable, low-latency ML infrastructure and services at Mollie, including adding new functionality to our ML Platform
Define and implement best practices & standards in MLOps
Mentor ML Engineers while developing your craftsmanship together
Bring models to production in collaboration with Data Scientists
Evaluate feasibility of potential ML model development projects across Mollie
Document MLE workflows and ensure compatibility with other systems at Mollie, including compliance with security standards (threat modeling)

What you'll bring

You have 5+ years of proven experience as an ML Engineer (or similar), including developing and maintaining ML Platforms and Model Pipelines
You have advanced software engineering skills and love coding in Python. You are an expert in at least one major cloud AI platform, preferably Google Cloud’s Vertex AI
You have significant experience with containers and container orchestration, e.g. with Docker, Kubernetes, and Kubeflow
You have experience: 1. Using Terraform or similar infrastructure-as-code tools, 2. Using (Py)Spark and managing Spark clusters, 3. Implementing streaming applications and related infrastructure
You know your way around a linux shell and are comfortable with Git for version control
You are familiar with the Model Development Lifecycle and common DS libraries, such as scikit-learn, pandas, feature-engine, shap, and mlflow
You are detail-oriented but can also quickly shift priorities if required
You have solid presentation skills and can communicate to a wide variety of audiences
You enjoy working collaboratively in a cross-functional & distributed team environment
You are comfortable in an agile Way of Working, with Scrum, Kanban, or similar frameworks

Nice to have

Terraform Developer Certification
Google Cloud ML Engineer Certification
Experience in the financial services industry (banking or fintech)
M.Sc. or Ph.D. in Machine Learning or Computer Science

5 reasons why you should be working here
We bring open hearts and open minds
1.
We grow what we know and learn what we don’t
2.
We are driven by customer love
3.
We celebrate the journey together
4.
We know how to have fun
5.

About Engineering

We’re in the driving seat. Without us, there is no Mollie. So we’re given the freedom to explore. Make mistakes, learn, and grow. Because that’s how we’ll become the most loved financial service provider.

More about Engineering at Mollie

Our stack

Full stack

Diversity, Equity, and Inclusion

These three words tell you everything about Mollie… Driven. By. Love. Our driving force, our reason for being… to become the world’s most loved financial services provider. But not just loved by our customers… by our people too. At Mollie we embrace what makes you unique, and nurture a culture that feels like home. We celebrate diversity of people and perspectives every day and are proud to be an equal opportunity employer. We do not discriminate. Every new Mollie is hired on the basis of qualifications, merit, and business need. We bring open hearts and open minds, we don’t judge each other for our differences, we embrace the unique traits that make our products and culture stronger. There is an energy at Mollie that can’t be contained. We are proud to be here, and inspired by the problems we have left to solve. So come join the ride.

Find out more

Who you’ll be working with

Isabelle
Head of Data
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Ana
Data Scientis
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Joren
Analytics Engineer
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Anique
Senior Data Analyst
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Darragh
Senior Data Engineer
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From
Mollie
with
love

Equity plans

Noise cancelling headphones

Birthday off

Company parties

MacBook

Work from home budget

Wellbeing program

Learning and development

Supersize screen

Referral bonus

Every good relationship starts with a click. Let’s make sure this one will last.

For starters
Our Talent Acquisition team and hiring manager will review your application, and respond within 2 weeks.
The "inbetween"
If you seem like a Mollie-in-the-making, we’ll invite you to a screening call so we can learn more about each other.
Are you the one?
If all goes well, you’ll have two or more interviews with the hiring team. And if it’s a highly technical role, we’ll also assess the specific skills you’ll need.