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Machine Learning Engineer - Search & Ranking

Technology & Engineering

At Picnic, we’re revolutionizing the way people buy groceries with our affordable and sustainable app-only service. We do almost everything in-house, developing cutting-edge technologies and processes to ensure we continue to grow rapidly without missing a beat.
If you’re a passionate Machine Learning Engineer, we’re offering you the opportunity to join the diverse team at our Amsterdam HQ and make a real difference in our data-driven, scale-up environment. We are currently seeking talented individuals across various levels of expertise.

🥜 In a nutshell 

As a Machine Learning Engineer at Picnic, you’ll work on creating intelligent, automated systems to solve our company’s biggest challenges at scale. You won’t stop at building a model—you’ll productionize it alongside the wide variety of machine learning models we already have running in production.

You will be working together with business leads to identify and solve problems that leverage machine learning. Your main responsibility will be in taking ownership of and developing the ML models that power what customers directly see: the Picnic store. You will develop ML solutions that allow customers to easily find the products that they are looking for, out of our considerable and ever-growing assortment. But also, you will build models that provide inspiration and show customers relevant articles that they might not know about.

Together with the Store team and analysts, you work towards ensuring that the relevant data is being tracked and your recommendations can be evaluated properly. You're more than a model builder: you’re a blend of internal consultant, software engineer, and applied mathematician.

You might think, “Sounds good, but 80% of my job is going to be cleaning data.” Not here. Our data is registered, logged, consistent, and immaculate - maintained by our very own Data Engineering team. We’re a mature team with the infrastructure, tools, and expertise to get models into production.

Check out some of our previous machine learning projects here: https://blog.picnic.nl/tagged/machine-learning

🎯 What you’ll do

You will focus on building ML solutions that allow customers to easily and seamlessly explore the store and find exactly what they need. This includes:

💻 Technologies we use

⭐ About you

📖 Picnic Perks

Every expert was once a beginner! 

Make a difference

Teamwork makes the dream work

You are what you eat

Stay healthy 

Attractive package

Benefits for expats 

It can be daunting starting a new job AND moving to a new country. That’s why we offer lots of support for our many expat colleagues, including: 

Commitment to equal opportunities 

Picnic is an equal opportunity employer—this means that all decisions regarding applications will be based on qualifications and merit. Applicants will be regarded independently of age, gender identity or expression, sexual orientation, ethnicity, skin color, civil status, religious beliefs, physical or mental disability, or any other factors protected by law. 

At Picnic, we celebrate and value our differences and are committed to building a safe and inclusive working environment where everyone can be themselves. 

Benefits of working at Picnic

Frequently asked questions: