Come see whats cookin at HelloFresh!
At HelloFresh, we want to revolutionize the way we eat by making it more convenient & exciting to cook meals
from scratch. We have offices all over the world & we deliver delicious meals to millions of people.
We are the industry leader in meal-kit subscription services & were growing all the time. We have distinct meal-
kit services that cater to everyone with the most menu variety in the market, which allows us to reach an
incredibly wide population of people.
The HelloFresh team is diverse, high-performing, & international, & our work environment is an inspiring space
where you can thrive as a result.
We are growing our Data Science team to take our data modeling & automation to the next level. The Data
Science team is part of the broader Growth Organization (Data Engineering, Digital Product, Marketing) & works
closely with Data Engineers to build & maintain best-in-class data products to improve HelloFreshs user-
experience & marketing effectiveness. The Data Science department is focused on designing scalable and
automated data products using a variety of big data tools & platforms (AWS Glue, Airflow, Spark, Databricks
Our vision is to maintain a best-in-class automated data platform directing our marketing initiatives on delivering
the right food box at the desired price point to the front door of all our customers.
We are hiring a Senior Machine Learning Engineer to lead HelloFreshs end-to-end machine learning engineering
initiatives. The job will cover a broad spectrum of projects including developing data pipelines, building and
training models, refining, automating, & putting in production existing & new models & building user
interfaces for some of the data products.
You will ...
Designing & improving end to end Machine Learning Projects (e.g. lookalike audience & propensity
scores, Forecasting, Media Mix Modeling, lifetime modeling, Churn modeling etc)
Provisioning clusters to train models on huge datasets & deploy feature preparation pipelines.
Deploying & monitoring Models in production (e.g. building artifacts, measuring model drift, etc ...)
Closing the loop with human interaction: architecting web apps for data products based on ML models.
Building efficient delivery mechanisms for model outputs (e.g. API, microservices)
An active, solution-oriented member of autonomous, cross-functional agile teams collaborating with
Product Owners, Data Scientists, & Business Intelligence teams
Able to develop an in-depth understanding of HelloFreshs core product & architecture, & act as an
ambassador for state of the art software solutions & industry best practices offering support and
mentorship to colleagues
At a minimum, you have...
MSc or Ph.D. in STEM Discipline with 5+ years related commercial experience are required.
Minimum 3 years of commercial experience building machine learning models & deploying them in
production. Advanced knowledge of models for classification, regression, & time-series forecasting (e.g.
Gradient Boosting, Random Forests, Lasso Regression, Prophet etc).
Minimum 3 years of commercial experience working with Python & proficiency with open source
libraries such as pandas, pyspark, scikit-learn, sqlalchemy. Experience with Apache Spark is also preferred.
Advanced Coding in SQL is preferred (DDL, DML, CTEs, query optimization, ...).
Minimum 1 years of experience with Amazon AWS, DevOps, & Automation for CI/CD.
The ability to design, implement & deliver maintainable & high-quality code. Minimum 3 years of
experience using best practices such as git/github, secrets encryption, yaml/json configurations etc)
Knowledge of visualization tools (Tableau, Grafana) is preferred.
Competitive Salary & 401k company match that vests immediately upon participation
Generous parental leave of 16 weeks & PTO policy
$0 monthly premium & other flexible health plans effective first day of employment
75% discount on your subscription to HelloFresh (as well as other product initiatives)
Snacks, cold brew on tap & monthly catered lunches
Company sponsored outings & Employee Resource Groups
Collaborative, dynamic work environment within a fast-paced, mission-driven company
It is the policy of HelloFresh not to discriminate against any employee or applicant for employment because of
race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because they are a protected veteran.