Senior Machine Learning Engineer
To Good To Go: Senior Machine Learning Engineer, Marketing Personalisation
Location: Copenhagen, Denmark (Hybrid)
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’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 the Role:
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.
Your Mission
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.
Tech Stack
Our models are written in Python, supported by SQL to retrieve data. Our models are built, evaluated, and productionised using our MLOps team's platform, which is based on Metaflow. The full Machine Learning stack includes: GitHub, Jenkins, Docker, Airflow, OpenSearch, and Redshift.
Responsibilities
Working on researching, building, and designing different machine-learning models for marketing personalization.
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.
Building and deploying models in production.
Involvement in developing statistical models.
Collaborating with the rest of the team to improve our product and solve customer problems.
The Ideal Candidate
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).
Bonus: experience with dbt, Snowflake, Airflow, or Metaflow; experience in complex ML system design; and experience in statistical hypothesis testing.
What We Offer
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 and certified B