Senior Director of Machine Learning Engineering

HelloFresh
Berlin, Warsaw, Boulder, Toronto
Full timeFunction: Data Science & Machine LearningExperience: 12+ yearsSkills: ["Leadership","Cross-functional communication","Ownership","Clarity","Bias to outcomes"]

Lead a globally distributed ML and engineering organization (Berlin, Warsaw, NYC, Boulder, Toronto) to drive ML strategy for benefit recommendations, personalization, and customer lifetime-value forecasting, alongside backend and distributed-systems strategy for pricing and subscription infrastructure. Oversee MLOps and reliability end to end—from observability and SLOs/SLIs to incident management, retraining, rollback, and experimentation. Partner cross-functionally to deliver business outcomes while scaling GenAI-native product teams.

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HelloFresh
HelloFresh
12 hours ago

Senior Director of Machine Learning Engineering

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Job Summary

Lead a globally distributed ML and engineering organization (Berlin, Warsaw, NYC, Boulder, Toronto) to drive ML strategy for benefit recommendations, personalization, and customer lifetime-value forecasting, alongside backend and distributed-systems strategy for pricing and subscription infrastructure. Oversee MLOps and reliability end to end—from observability and SLOs/SLIs to incident management, retraining, rollback, and experimentation. Partner cross-functionally to deliver business outcomes while scaling GenAI-native product teams.
Location: Berlin, Warsaw, Boulder, Toronto
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Lead an organization of 25-30 engineers, data scientists, and ML practitioners via Engineering Managers and Staff Engineers across multiple geographies.
  • •Own ML strategy for benefit recommendation, personalization, and customer lifetime-value forecasting, as well as backend and distributed-systems strategy for pricing and subscription infrastructure.
  • •Drive transformation toward fully GenAI-native, cross-functional product teams, building on teams already using AI-assisted coding.
  • •Ensure reliability and operational excellence across ML and backend systems, including observability, SLOs/SLIs, incident management, and MLOps practices.
  • •Partner with Product, Data Science, Marketing, Finance, and adjacent engineering teams to align priorities with business outcomes while developing leaders across disciplines.
Travel: Medium travel

Pay and Benefits

Perks:PensionHome OfficeChildcare SupportLearning BudgetRemote Work

Key Requirements

  • •Credibility across production machine learning systems and distributed backend/pricing infrastructure, partnering effectively with Data Science.
  • •Proven leadership of globally distributed teams across countries and time zones without daily co-location; comfortable with regular travel.
  • •Deep ML engineering expertise across feature engineering, training/serving infrastructure, experimentation, and MLOps; causal inference or uplift modeling is a plus.
  • •Experience scaling backend services and data pipelines in revenue-sensitive, high-throughput environments; subscription or billing experience is a plus.
  • •12+ years in software/ML engineering and 5+ years managing Engineering Managers across multiple technical disciplines and geographies.
Experience:12+ yearsMachine learningMLOpsSREGenAIDistributed systems
Skills:LeadershipCross-functional communicationOwnershipClarityBias to outcomes
Tech Stack:GenAIMLOpsSREObservabilitySLOs/SLIsExperiment tracking

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