machine learning engineer for menu personalization

HelloFresh is a global food solutions group and the world's leading meal kit company, offering high-quality food and recipes for different meal occasions across 18 countries and three continents.

• Set the technical direction for the ML systems behind menu personalization, owning the end-to-end stack of feature pipelines, training workflows, model serving, experimentation tooling, and infrastructure;
• Take research and experiments to reliable production systems that meet latency, scalability, and observability requirements;
• Shape the personalization roadmap with Product and Engineering leadership, using data and user evidence;
• Operate and improve production systems through instrumentation and continuous learning;
• Raise the technical bar through architecture reviews, mentorship, and strong production ML practices;
• Shape long-term architecture and make platform decisions with multi-year impact;
• Drive engineering excellence beyond Menu Personalization by setting standards adopted by other ML and data teams;
• Sync with peers across HelloFresh on best practices and contribute to company-wide engineering initiatives advancing ML and data engineering.

• 8+ Years of experience building and operating production ML systems;
• Track record of technical leadership at scale;
• Experience making architectural decisions that remained effective over multiple years and influenced teams beyond the candidate's own team;
• Fluency in Python and Spark;
• Fluency in Go, Kafka, and Kubernetes;
• Hands-on experience with pipelines, model serving, and observability at scale;
• Statistical literacy for designing reliable experiments and evaluating model quality;
• Operational judgment to diagnose system issues, identify root causes, and build debuggable systems under real load;
• Hands-on experience with AI tooling such as Claude Code, Cursor, and Copilot, including daily use of AI agents;
• Product sense and ability to connect technical decisions with business value;
• Strong ownership and bias to ship;
• Nice to have: production experience with recommender systems or large-scale personalization.

• Compensation is heavily weighted toward equity through Virtual Stock Option (VSO) and Restricted Stock Unit (RSU) plans;
• Discount on HelloFresh meal kits;
• Flexible Hybrid work requires a minimum of 2 days in the office per week, with most teams working from the office 2–3 days per week.