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Senior Machine Learning Engineer, Menu Personalization

External
hellofresh logoHellofresh · Toronto, Canada
Full-timeOn-site4d ago
KafkaKubernetesMachine LearningObservabilityPythonSpark
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About the role

Menu Personalization decides what millions of customers see when they open HelloFresh each week. The team owns the recommender systems that match customers to recipes across our global markets, and brings together Data Scientists, Backend Engineers, Data Engineers, ML Engineers, and Product to take ideas from experiment to production. The work directly shapes customer experience and business growth: when personalization gets better, customers find recipes they love faster, and HelloFresh becomes a stronger weekly habit. At HelloFresh we are moving away from a model where software developers just execute tickets toward one where engineers are trusted to own customer problems. You take a problem, form a point of view, validate it with customers and data, and ship it using AI as a force multiplier. We are looking for a Senior Machine Learning (ML) Engineer for the Menu Personalization team, someone who helps build and operate the recommender stack that runs in production. You will design, build, and operate ML systems across feature pipelines, training workflows, model serving, experimentation tooling, and the infrastructure underneath, owning significant parts of the stack end to end. You will be expected to bring a point of view on how we improve personalization and to back it with data and user evidence. You will partner with Data Scientists to take models from notebook to production, with Data Engineers on features and pipelines, with Backend Engineers on online inference paths, and with Product on what to build next.

Responsibilities

  • Build and operate the ML systems behind menu personalization, working hands-on across 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.
  • Own significant components of the recommender stack end to end, from design through deployment and ongoing operation.
  • 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.
  • Contribute to the personalization roadmap with Product and Engineering, backing your point of view with data and user evidence.
  • Help raise the technical bar on the team through code and design reviews, mentorship, and the example you set on production ML craft.

Requirements

  • 5+ years building and operating production ML systems.
  • Production experience with recommender systems or large-scale personalization is a strong plus.
  • Fluency across our data and ML stack (Python, Spark) and working knowledge of our backend and platform stack (Go, Kafka, Kubernetes), with hands-on experience across pipelines, model serving, and observability at scale.
  • Statistical literacy to design honest experiments and the judgment to know when a model is actually better versus when the metrics are lying to you.
  • Operational judgment to diagnose system misbehavior, find root causes, and ship systems you can debug under real load.
  • Hands-on experience with AI tooling (Claude Code, Cursor, Copilot) beyond casual experimentation; you use AI agents every day and have a practical sense of how the context you provide shapes output quality.
  • Product sense: opinionated about what should be built and why, with the ability to back it with evidence and translate it into business value.
  • A bias to ship; you take full ownership and finish the last twenty percent.
  • Let's cut to the cheese, this is why you'll love it here
  • Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
  • Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
  • Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
  • Family Benefits - A parental leave top-up program for expectant parents.
  • Growth

Benefits

Health insuranceDental insurancePaid time offParental leave

Additional Information

About HelloFresh At HelloFresh, we want to change the way people eat forever by offering our customers high-quality food and recipes for different meal occasions. Even after celebrating our 10-year anniversary, we continue to see this mission spread around the world and beyond our wildest dreams. Now, we are a global food solutions group and the world's leading meal kit company, active in 18 countries across 3 continents. So, how did we do it? Our weekly boxes full of exciting recipes and fresh ingredients have blossomed into a community of customers looking for delicious, healthy and sustainable options. The HelloFresh Group now includes our core brand, HelloFresh, as well as: Green Chef, EveryPlate, Chefs Plate, Factor_, YouFoodz, The Pets Table and GoodChop.


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