Description
In a nutshell
As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company’s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact.
All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.
Tricks of the trade
You will definitely:
- 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
You could work on various projects and fields, such as:
- 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
Check out some of our previous machine learning projects here: https://blog.picnic.nl/tagged/machine-learning
We’re looking for
- Master’s degree or higher in AI, Computer Science, Mathematics, or a related field
- 5+ 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
- Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles
- Strong Python and SQL skills
- Able to define the long-term vision and technical architecture for ML solutions within your domain
- Experience with Docker, Kubernetes, and CI is a plus
Picnic Perks
🫱🏼🫲🏾 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!
💡 Make a difference
You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place!
🥗 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.
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