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 Corporation 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. Our values We win together: Food waste is a big beast to fight. We can do it if we win together as Waste Warriors with no ego. We believe in a #oneteam. We raise the bar: We always push for more. We work smart, smash barriers, and elevate one another. We keep it simple: Our ambitions are bold but our solutions are simple. We build a legacy: We’re proud of the change we’re driving and want it to last. We care: We always look out for each other. Caring is also about the way we do business. We do the right thing. 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. Please 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-CT1 #LI-Hybrid 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.