Senior Machine Learning Engineer

📋 Job Overview

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 social impact company 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’re growing fast: Our community of 127 million registered users and 253,000 active partners across 20 countries, have together already prevented 489+ million meals from going to waste - avoiding over 1.322.000 tonnes of CO2e!

🏢 About To Good To Go

We’re looking for a Senior Machine Learning Engineer to be a part of our Consumer Growth Product and Tech team that defines, builds, and delivers AI features for our marketing personalization efforts. You will work towards specific outcomes with the freedom and responsibility to figure out the best route to achieve them, collaborating with other engineers, data scientists, and product members. Within the Product & Tech organization, you will work toward generating the smartest possible recommendations for our users. Your work will ensure they are matched with the best meals at the right time, which in turn will result in more meals saved and improved user retention.

🎯 The Role

As a Senior Machine Learning Engineer, you will be part of a team dedicated to delivering a step-change in personalization for our consumer marketplace. You will of course collaborate with your counterparts in other product teams, and will be part of the broader ML and tech communities at Too Good To Go. Your work will directly impact millions of users by improving our surplus food management solutions and personalizing their experience.

📌 Required Qualifications

• Has established experience within a similar role.
• Experience using Python and deploying to production.
• First-hand experience with ML libraries, frameworks, and tools, such as PyTorch, TensorFlow, Scikit-learn, Prophet, DeepAR, etc.
• Degree educated within a technical field (Computer Science or equivalent engineering degree).
• Experience in a cloud environment (AWS, Google Cloud, or Azure).

⭐ Desirable Experience

• Experience with dbt, Snowflake, Airflow, or Metaflow; experience in complex ML system design; and experience in statistical hypothesis testing.

🎁 Benefits

Develop and maintain the backbone of our personalization engine, which is used by millions of users every day to support their efforts to combat food waste. An opportunity to work in a global social-impact company where you can see a real and tangible impact in your role. To be an integral member of our defined product teams. We are eager for you to make an impact and contribute to the product scope and development; your insights are valuable, and we are here to listen. We trust in our employees and encourage an autonomous environment that provides several opportunities for employees to contribute, develop, and take ownership of their work in a way that works for them. To be part of an international company, with over 1,300+ colleagues across 20 countries.

🛂 Visa & Eligibility

Job Ref: #LI-CT1 #LI-Hybrid