Senior Machine Learning Engineer, Benefits PersonalizationActive$170K

HelloFresh
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The opportunity

The position is part of the Growth Alliance, which has the mission to empower the HelloFresh business to convince more customers to try, recommend, or return to our products. Within Growth, the Customer Value Optimization Tribe maximizes long-term customer value by optimizing…

What you'll do

  • Take ownership of the end-to-end process, including architecture, design,: development, deployment, and operations of data pipelines, applying DevOps practices, pair programming, and other cutting-edge methodologies.

  • Be active, solution-oriented member of autonomous, cross-functional agile: teams collaborating with Data Scientists, Machine Learning Engineers, Data Engineers, Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, and Business Intelligence teams

  • Demonstrate an in-depth understanding of HelloFresh’s core product and: architecture, and act as ambassador for software/data solutions offering support and mentorship to colleagues

  • Work with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka,: PySpark, Kubernetes, Airflow, Prefect, Tecton, Databricks, dbt, as well as our in-house Data Pipeline tools

  • Leverage Claude Code and other AI tools as productivity multipliers

  • All other duties, as assigned

What they're looking for

  • Experience leading the end-to-end lifecycle of production ML systems, from: architectural design to scalable deployment and monitoring.
  • Solid data engineering experience with the ability to design, implement, and: deliver maintainable, high-quality code in Python and SQL
  • Hands-on experience with cloud computing and data processing technologies,: including PySpark, Kubernetes, Kafka
  • Expertise in data modeling, relational databases (e.g., PostgreSQL), object: stores (e.g., AWS S3), data platforms (Databricks)