Senior Staff Machine Learning Engineer, Menu Personalisation

HelloFresh
Warsaw, Toronto
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Python","Spark","Go","Kafka","Kubernetes","Ai tooling","Production systems","Observability"]

Lead the Menu Personalization ML systems at HelloFresh, owning end-to-end recommender stack from feature pipelines to model serving. Collaborate with data scientists, data engineers, and backend engineers to design scalable production-grade ML systems that influence menu personalization across HelloFresh's global markets.

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FursaFursa
HelloFresh
HelloFresh
3 months ago

Senior Staff Machine Learning Engineer, Menu Personalisation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead the Menu Personalization ML systems at HelloFresh, owning end-to-end recommender stack from feature pipelines to model serving. Collaborate with data scientists, data engineers, and backend engineers to design scalable production-grade ML systems that influence menu personalization across HelloFresh's global markets.
Location: Warsaw, Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Set the technical direction for the Menu Personalization ML systems and own the end-to-end stack: feature pipelines, training workflows, model serving, experimentation tooling, and infrastructure.
  • •Take research and experiments to reliable production systems, partnering with Data Scientists on services that meet latency, scalability, and observability requirements.
  • •Shape the personalization roadmap with Product and Engineering leadership, backing your point of view with data and user evidence.
  • •Operate what you build in production, instrumenting and improving your systems because shipping is the beginning of the learning cycle.
  • •Raise the technical bar across the team through architecture reviews, mentorship, and the example you set on production ML craft.

Key Requirements

  • •8+ years building and operating production ML systems with a track record of technical leadership at scale
  • •Production experience with recommender systems or large-scale personalization is a strong plus
  • •Fluency across our data and ML stack (Python, Spark) and our backend and platform stack (Go, Kafka, Kubernetes), with hands-on experience across pipelines, model serving, and observability at scale
  • •Hands-on experience with AI tooling (Claude Code, Cursor, Copilot) beyond casual experimentation; you use AI agents every day
  • •A bias to ship; you take full ownership and finish the last twenty percent
Experience:8+ yearsMachine learningRecommender systemsML engineering
Skills:PythonSparkGoKafkaKubernetesAi toolingProduction systemsObservability
Languages:English
Tech Stack:PythonSparkGoKafkaKubernetes

Company Brief

HelloFresh
HelloFresh is a meal-kit and food subscription company that delivers fresh ingredients and recipes to consumers, offering convenient home-cooked meals through weekly subscription boxes across multiple international markets.
Industry: FoodTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2011
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn