machine learning engineer for menu personalization

Описание: 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. Задачи: • 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. Требования: • 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. Условия: 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.