Senior Director of Machine Learning Engineering

About the role

The Senior Director of Machine Learning Engineering will lead the CVO tribe, overseeing machine learning, personalization, and lifetime-value prediction systems. This role involves managing a globally distributed organization of engineers and data scientists to drive technical strategy across ML, backend, and data disciplines. You will be responsible for operational excellence, cross-functional alignment with business stakeholders, and fostering an AI-native engineering culture.

Responsibilities

• Lead an organization of 25-30 engineers, data scientists, and ML practitioners across multiple international hubs.
• Own ML strategy for benefit recommendation, personalization, and customer lifetime-value forecasting.
• Drive the transformation of engineering practices toward fully GenAI-native, cross-functional product teams.
• Own reliability and operational excellence, including observability, SLOs/SLIs, and MLOps practices.
• Partner with Product, Data Science, Marketing, and Finance to align engineering priorities with business outcomes.
• Manage and develop Engineering Managers and Data Science Leads across disciplines and geographies.

Required skills

• Machine Learning
• Distributed Systems
• Backend Engineering
• MLOps
• Feature Engineering
• Data Pipelines
• SRE
• Leadership

Nice to have

• Causal inference
• Uplift modeling
• Subscription systems
• Billing systems

Qualifications

• 12+ years in software/ML engineering
• 5+ years managing Engineering Managers across multiple technical disciplines and geographies

Benefits

• HelloFresh meal kit discount
• Company pension scheme
• Urban Sports Club membership
• John Reed membership
• Yoga classes
• Headspace access
• Spill access
• Flexible hours
• Home office setup budget
• Childcare support

About the Company

HelloFresh is a global company with engineering hubs in Berlin, Warsaw, NYC, Boulder, and Toronto. The company focuses on data-driven systems, personalization, and machine learning to optimize pricing and customer lifetime value.