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.