HelloFresh is hiring a

Senior Machine Learning Engineer - Pricing Optimization

Boulder, United States

Come see what’s cookin’ at HelloFresh!

At HelloFresh, we want to revolutionize the way we eat by making it more convenient and exciting to cook meals from scratch. We have offices all over the world and we deliver delicious meals to millions of people. We are the industry leader in meal-kit subscription services and we’re 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, and international, and our work environment is an inspiring space where you can thrive as a result.

We are growing our Pricing Optimization Squad inside the Global AI department to streamline the development, deployment, and monitoring of machine-learning-driven software at HelloFresh. The Global AI team works cross-functionally to identify opportunities to build and deploy advanced ML solutions throughout the organization and works closely with Data Scientists, ML engineers, and Data Engineers to build and maintain best-in-class data products to improve HelloFresh’s user experience. The Global AI team is focused on designing scalable and automated software and ML pipelines using a variety of AI, big data tools, and cloud platforms (AWS, Spark, Prefect, Databricks, etc.)

You will...

  • Develop and improve machine learning products used to drive marketing use cases at HelloFresh (e.g. pricing models, reinforcement learning, recommender systems, propensity models, etc.)
  • Build end-to-end pipelines comprising data collection, feature engineering, model training, model evaluation, model scoring, and deployment
  • Deploy and monitor models in production (e.g. building artifacts, measuring model drift, integrating with CI/CD, etc.)
  • Support and consult marketing and pricing team stakeholders regularly to ensure successful adoption of our products
  • Close the loop with human interaction: architecting web apps for data products based on ML models

You are...

  • An active, solution-oriented member of autonomous, engineering-focused agile teams collaborating with Product Owners, Data Scientists, and Business Intelligence teams
  • Interested in converting existing data science projects and new predictive model opportunities into impactful products
  • Able to develop an in-depth understanding of HelloFresh’s core product to help us build value where it matters most for our customers

At a minimum, you have...

  • BSc or MSc in STEM discipline with relevant commercial experience
  • Minimum 6 years of commercial experience building machine learning models
  • Advanced knowledge of models for classification, regression, and time-series forecasting (e.g. Gradient Boosting, Random Forests, Lasso Regression, Prophet, etc.)
  • Experience deploying ML to production
  • Demonstrated experience building software with Python and proficiency with data and ML-related open-source libraries such as Pandas, Scikit-Learn, XGBoost/CatBoost, TensorFlow, PyTorch
  • Demonstrated experience implementing good software engineering practices (e.g. version control, code modularity, testing)
  • Experience working with Cloud infrastructure (e.g. AWS, GCP, Azure)
  • Experience with Apache Spark is preferred
  • Experience with deep learning techniques is a plus

What you'll get...

  • Competitive Salary & 401k company match that vests immediately upon participation
  • Generous parental leave of 16 weeks & PTO policy
  • $0 monthly premium and 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
Salary:

Colorado Salary Range: $110,000 - $150,000

Colorado Pay Range
$130,000$170,000 USD

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