Marley Spoon is bringing delightful, market fresh and easy cooking back to the people, while re-inventing the global food supply chain to reduce unethical food waste. We are connecting consumers with quality producers, providing fresh ingredients directly to customer's homes and we are present in Europe, the US and Australia, shipping more than 140 000 food boxes every week.

The Machine Learning Operations Team

We are a lean team working closely with the Data Warehousing, Data Science and DevOps Teams. The main focus of this team is to build and provide Services and Infrastructure to the Data Science Team to move models into production while following best practices. As a data driven company this position is a vital one for the growth and success of Marley Spoon. Expect to face challenges from every single department and bring Machine Learning to all parts of the business.

Your responsibilities include:

• Work closely with data scientists to make machine-learning algorithms production-ready using AWS services, Kafka, Docker and Kubernetes.
• Improve, maintain and monitor the Data Infrastructure in AWS using Terraform and Terragrunt.
• Monitor, optimize and improve our existing ML Pipelines and help us follow best practices.

• Experience writing production grade code using Python
• Experience with the Machine Learning life-cycle
• Experience with Docker
• Experience with Airflow
• DevOps basic understanding and willingness to learn and take on infrastructure tasks
• Experience with SQL
• A structured way of working
• Passion for building things from scratch and improving existing components
• Passionate about food and/or cooking
• You're a team player and a fan of knowledge sharing & learning
• You are proactive and come up with ideas on how to move the product forward

• Autonomy, Impact, Collaboration, Learning & Growth
• Flexible working hours, home office and remote work
• Spend 5% of your working time on personal learning and development
• Conference / Training budget
• Free food boxes delivered to your doorstep
• Cooked food from our test kitchen & free drinks
• Gym & language course discounts
• Friday drinks and many after work events
• An open, diverse and respectful culture with over 50 nationalities
• Possibility to trade part of your salary for double the amount of stock options