Machine Learning Engineer

At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together.

40% of all food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions coming from food waste. 

We’re more than an app: we are a certified B Corporation with a mission to empower everyone to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions - such as our Retail Technologies offering, and influence legislation to help reduce food waste.

We are growing fast, with a community of 73 million users in 17 countries. Together, we have saved more than 200 million meals from going to waste since we started - but there’s still a lot more we want to achieve

The Role

We are looking for Machine Learning Engineer to be a part of our Product Teams that define, build and deliver our product features. As a Team Member in a product team, you will work towards specific outcomes with the freedom and responsibility to figure out the best route to achieve them together with the other Engineers and Product members of the Team.

You will work cross-functionally, stationed within your product team but collaborating across teams, like Data Engineers and DevOps colleagues. You will need to think outside the box to identify how we can approach data differently to ensure our users are matched with the best meals at the right price - which in turn, will result in saving more meals.

Tech Stack:

Our models are written in python, supported by SQL to retrieve data. Our models are built, evaluated and productionised in Metaflow, which will be the tool you will mostly be interacting with in your everyday work, However our full Machine Learning stack consists of: Github, Jenkins, Docker, Airflow, OpenSearch and Redshift.

Responsibilities:

• Working on researching, building and designing different machine-learning models
• Running experiments, evaluating and using the results to improve machine learning models and algorithms. 
• Working end-to-end to solve problems with a product and customer-oriented mindset
• Build and deploy models in production
• Involvement in developing statistical models

The ideal candidate

• Has established experience within a similar role
• Experience using Python and deploying to production
• First-hand experience with Machine Learning Libraries, such as Pytorch or Tensorflow
• Degree educated within a technical field (Computer Science or equivalent engineering degree) 
• You’ve worked in cloud services: AWS, Google Cloud or Azure
• Bonus: Java programming experience
• Bonus: Deploying models via Metaflow

What we offer

• A rare opportunity to work in a global social impact company (and certified B Corporation!) where you can see a real and tangible impact in your role.
• An autonomous environment, with several opportunities to contribute, build on experience and take ownership of your work in a way that works for you. 
• Working alongside an international community of users, partners and 1,300+ colleagues across 17 countries that are on the same important mission.
• Opportunity to influence our product, design and ways of working, every day.
• An informal atmosphere, with a strong, values-driven team culture where we celebrate successes and socialise with colleagues that care to offer 
• Robust Developer Tooling and CI/CD support.

Our values

• We Win Together
• We Raise the Bar
• We Keep It Simple
• We Build A Legacy
• We Care

How To Apply

We take recruitment very seriously, so please carefully read everything we have written above. Please also check our website and international media in order to get a good overview of Too Good To Go.

Submit your CV and Cover letter in English.

Please note that we only accept applications coming through our platform. No CV or Cover Letter will be accepted by email or LinkedIn direct messaging.

Job Ref: #LI-RS1

A Movement for Everyone
We want to inspire and empower everyone to fight food waste together. With that mission, it’s only natural that we want to build a diverse and inclusive team of highly capable individuals who are passionate about doing things in a better way. We strongly believe we all excel and are more creative when we’re allowed to be ourselves, and we’re committed to a culture where all of us belong.
We are an equal opportunity employer and all employment is decided on the basis of qualifications, merit and business need. If you need reasonable accommodation at any point in the application or interview process, please let us know.