Senior Machine Learning Engineer [MARTECH] en HelloFresh

We are growing our Personalized Engagement squad inside the Global AI department to accelerate the development, deployment, and monitoring of machine learning models that drive marketing optimization at HelloFresh.  Our team specializes in building intelligent systems for the marketing organization that personalize discounts and promotional incentives to improve customer engagement, retention, and reactivation.  As part of the Global AI organization, we collaborate with data scientists, ML engineers, and data engineers to build scalable ML products and automated pipelines using modern tools like AWS, Spark, Prefect, and Databricks.

You will … 

• Build tooling and automation that enables other engineers and scientists on our squad to develop and test machine learning products (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 data scientists regularly to ensure successful adoption of our ML tooling.

You are… 

• A proactive, solution-oriented contributor in an agile, engineering-driven team, working closely with product managers, data scientists, and business intelligence partners.
• Eager to bridge the gap between experimentation and production—turning research into impactful, real-world products.
• Invested in understanding HelloFresh’s core business and customer experience, so you can help deliver value where it matters most.

You have… 

• BSc or MSc in STEM discipline with relevant commercial experience.
• Minimum 4 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.
• Experience with deep learning techniques is a plus.

You’ll get… 

• Competitive salary, 401k with company match that vests immediately upon participation, and company equity plan based on role
• Generous PTO, including sabbatical, and parental leave of up to 16 weeks
• Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
• Tuition reimbursement for continuing education
• Up to 75% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
• Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
• Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.