Senior Machine Learning Engineer

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

• 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, 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.

• 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

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

Digital grocery shopping