HelloFresh

1 month 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: 4 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: 3.6

Website LinkedIn

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HelloFresh

1 month 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: 4 hours agoStatus: Live

Job Summary

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

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: 3.6

Website LinkedIn