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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. That means putting robust monitoring in place, ensuring predictions seamlessly integrate with operational systems, and working closely with stakeholders to make sure you're solving the right problem. You're more than a model builder: you’re a blend of internal consultant, software engineer, and applied mathematician.
We work either embedded within business teams or very closely alongside them to ensure our models drive real-world impact. At Picnic, a wide variety of machine-learning models are already running in production. In collaboration with the inbound team you might help improve the Temporal Fusion Transformer model that predicts article demand on a large scale, a direct input for our ordering system. In the Meals team, you could contribute to our two-tower recommender model, helping customers plan their weekly menu with the most relevant and inspiring meal suggestions.
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. We’re a mature team with the infrastructure, tools, and expertise to get models into production.
Identify and execute improvement possibilities together with other ML Engineers and (product) analysts
Collaborate on your project from inception to production, to continuous improvement
Develop tools and enhancements for our cloud-based Machine Learning platform
Projects and fields you could work on:
Demand forecasting: delivery, article, trip volumes, used Picnic-wide
Fraud detection: helping us keep troublemakers out of our store
Recommendation systems: generating useful in-app grocery suggestions
Search and ranking: helping our customers find exactly what they need
Predicting delivery drop-off times: making sure we’re on-time at every customer’s door
Vision: ensuring quality control and smooth operations within our warehouses
Master’s degree or higher in AI, Computer Science, Mathematics, or a related field
At least 2 years of experience in data science or applied machine learning
Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
Some experience with maintaining production-level ML solutions and eager to learn about solid software engineering principles and ML principles
Strong Python and SQL skills
Experience with Docker, Kubernetes, and CI is a plus
✍🏼 Every expert was once a beginner!
You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses.
🫱🏼🫲🏾 Teamwork makes the dream work
With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!
🥗 Fresh Lunch, coffee, and snacks
Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.
🚲 Health insurance discount & bike plan
We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate
🌎 Relocation
If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application.
📆 All the rest
At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.
When you join Picnic, you’re joining the shopping revolution, delivering groceries to millions of people across Europe, and we’re growing fast. Think super fresh products and personal service, but in a modern, sustainable way. The tech team at Picnic is at the core of Picnic. From deep learning models to forecast orders to delivery algorithms to warehouse logistics: we’ve built it all from the ground up. You’ll thrive here if you’re a problem solver with a pro-active mindset who’s not afraid to be challenged daily.
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.
Started in 2015 in the Netherlands, Picnic now delivers groceries to millions across three countries, growing fast. The idea? We’re bringing back the milkman. Imagine personal service and fresh products but in a modern, sustainable way. We’re looking for bright minds to shape the future of grocery shopping with us.
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