Senior Machine Learning Engineer

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.

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.

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.

• →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.

• 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.

• 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.

• 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