Senior Staff Machine Learning Engineer, Menu Personalisation

HelloFresh
Toronto
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Leadership","Collaboration","Communication","Problem-solving","Product-sense"]

Lead and own the Menu Personalization ML stack end-to-end, designing, building, and operating production ML systems. Collaborate with Data Scientists, Data Engineers, and Backend Engineers to move models from notebooks to production, shaping the personalization roadmap and setting long-term platform standards that scale with HelloFresh across markets.

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FursaFursa
HelloFresh
HelloFresh
3 months ago

Senior Staff Machine Learning Engineer, Menu Personalisation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Lead and own the Menu Personalization ML stack end-to-end, designing, building, and operating production ML systems. Collaborate with Data Scientists, Data Engineers, and Backend Engineers to move models from notebooks to production, shaping the personalization roadmap and setting long-term platform standards that scale with HelloFresh across markets.
Location: Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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, partnering with Data Scientists on services that meet real 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, instrumenting and improving your systems in production because shipping is the beginning of the learning cycle, not the end of it.
  • •Raise the technical bar across the team through architecture reviews, mentorship, and the example you set on production ML craft.

Pay and Benefits

Perks:Health InsuranceDentalPaid LeaveParental LeaveLearning Budget

Key Requirements

  • •8+ years building and operating production ML systems, with a track record of technical leadership at scale.
  • •Fluency across Python, Spark and backend stack (Go, Kafka, Kubernetes) with hands-on experience across pipelines, model serving, and observability at scale.
  • •Architectural decisions that withstood multiple years and influenced teams beyond your own.
  • •Hands-on experience with AI tooling (Claude Code, Cursor, Copilot) and a practical sense of how prompts shape output quality.
  • •Product sense and the ability to translate technical decisions into business value, with ownership to ship the last twenty percent.
Experience:8+ yearsRetailE-commerceFood & beverage
Skills:LeadershipCollaborationCommunicationProblem-solvingProduct-sense
Languages:English
Tech Stack:PythonSparkGoKafkaKubernetesModel servingTraining workflowsFeature pipelinesObservabilityAI toolingClaude CodeCursorCopilot

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