Senior Staff Machine Learning Engineer, Menu Personalisation (m/f/x)
HelloFresh, the world's leading meal-kit company, is seeking a technical leader for the ML systems behind its Menu Personalization recommender stack, which decides what millions of customers see each week. This is a senior individual-contributor role owning the end-to-end production stack while remaining hands-on across feature pipelines, training, serving, experimentation, and infrastructure. You set long-term technical direction, take models from experiment to reliable production, and raise the ML craft bar across the company.
Responsibilities
- ▹Set the technical direction for the ML systems behind menu personalization, owning the end-to-end stack: feature pipelines, training workflows, model serving, experimentation tooling, and infrastructure.
- ▹Take research and experiments to reliable production systems that meet real latency, scalability, and observability requirements, partnering with Data Scientists.
- ▹Shape the personalization roadmap together with Product and Engineering leadership, backing your point of view with data and user evidence.
- ▹Operate what you build, instrumenting and improving systems in production as part of the learning cycle.
- ▹Raise the technical bar through architecture reviews, mentorship, and setting an example of production ML craft.
- ▹Shape long-term architecture and make platform decisions whose payoff plays out over years.
- ▹Drive engineering excellence beyond Menu Personalization by setting standards other ML and data teams adopt.
- ▹Sync with peers across HelloFresh and contribute to company-wide engineering initiatives that advance ML and data craft.
Requirements
- ▹8+ years building and operating production ML systems with a track record of technical leadership at scale.
- ▹Past architectural decisions that held up over multiple years and influenced teams beyond your own.
- ▹Fluency across the data/ML stack (Python, Spark) and the backend/platform stack (Go, Kafka, Kubernetes), with hands-on experience across pipelines, model serving, and observability at scale.
- ▹Statistical literacy to design honest experiments and judgment to tell a genuinely better model from misleading metrics.
- ▹Operational judgment to diagnose system misbehavior, find root causes, and ship debuggable systems under real load.
- ▹Hands-on experience with AI tooling (Claude Code, Cursor, Copilot) beyond casual experimentation, using AI agents daily.
- ▹Product sense: opinionated about what to build and why, backed with evidence and translated into business value.
- ▹A bias to ship, taking full ownership and finishing the last twenty percent.
Nice to have
- ▹Production experience with recommender systems or large-scale personalization.
Soft skills
What we offer
- ▹Compensation heavily weighted toward equity through Virtual Stock Option (VSO) and Restricted Stock Unit (RSU) plans.
- ▹Discount on HelloFresh meal kits delivered to your door.
- ▹Flexible Hybrid working model (minimum 2 days in office per week, most teams 2-3 days).
- ▹High-performance environment with ambitious, intellectually curious global peers.
- ▹Opportunity to shape strategy, scale teams, and redefine leadership in a rapidly evolving business.
About the company
HelloFresh is a global food solutions group and the world's leading meal kit company, active in 18 countries across 3 continents. Its brand family includes HelloFresh, Green Chef, EveryPlate, Chefs Plate, Factor_, YouFoodz, The Pets Table, and GoodChop. The Menu Personalization team owns the recommender systems that match customers to recipes across global markets.