In a nutshell 

You’ll work on building the tools and infrastructure to help our Machine Learning Engineers build and productionize robust machine learning models. 

Working closely with ML Engineers, you’ll identify opportunities to improve the machine learning lifecycle at Picnic. From tools that improve model experimentation, to automations that simplify model deployment. You will collaborate with other platform teams at Picnic to make sure our tech stack remains aligned with the rest of the Tech team, while building and integrating the solutions that solve the problems unique to machine learning systems.

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

Tricks of the trade

Various MLOps-oriented projects to:

• Automate machine learning model retraining and deployment
• Set up infrastructure for model inference, supporting deployment strategies like A/B testing and shadow testing.
• Improve monitoring in order to exercise operational excellence for our machine learning models.
• Simplify and standardize usage of tools by developing and inner-sourcing Python packages

Your contributions to the platform will power:

• Recommendation systems: generating useful in-app grocery suggestions for our customers.
• LLM use cases: automate systems to categorize Customer Success tickets.
• Outlier detection: low-latency decision support systems to prevent fraud.
• Time-series forecasting: improving the operational efficiency throughout our supply chain, from our automated fulfilment center to our last mile delivery.

You will definitely: 

• Work closely with ML Engineers to identify opportunities, define use cases, and scope out the requirements
• Own your own project from inception to production
• Experiment with and evaluate new technologies
• Develop tools and enhancements for our ML Platform

We’re looking for

• Master’s degree or higher in AI, Computer Science, or a related field
• 2+ years of experience in productionizing machine learning models, preferably using Docker and Kubernetes
• Proven track record of scaling development and adoption of machine learning in an organization
• Strong Python skills
• ...and for bonus points: you have experience with Terraform and working with LLMs

Picnic Perks

✍🏼 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.