S'more about the teamThe position is part of the Growth Alliance, which has the mission to empower the Hello Fresh business to convince more customers to try, recommend, or return to our products. Within Growth, the Customer Value Optimization Tribe maximizes long-term customer value by optimizing pricing, personalizing perks, forecasting customer value (CLV), and creating compelling incentives that drive retention and revenue growth. As a Senior ML Engineer within our Benefits Personalization Squad, you will own the data infrastructure that powers personalized customer experiences at Hello Fresh: helping us deliver the right benefits, incentives, and offers to the right customers at the right time.Our Engineers assume development and operational responsibility for the Hello Fresh Platform that enables serving millions of customers globally by providing the best & efficient experience for our customers and internal users.Above all, we are looking for people who will make Hello Fresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.Lettuce share what this role will be responsible forTake ownership of the end-to-end process, including architecture, design, development, deployment, and operations of data pipelines, applying Dev Ops practices, pair programming, and other cutting-edge methodologies.Be active, solution-oriented member of autonomous, cross-functional agile teams collaborating with Data Scientists, Machine Learning Engineers, Data Engineers, Product Owners, Back-end Engineers, Front-end Engineers, Product Analysts, and Business Intelligence teamsDemonstrate an in-depth understanding of Hello Fresh’s core product and architecture, and act as ambassador for software/data solutions offering support and mentorship to colleaguesWork with state-of-the-art technologies like AWS (EMR, Glue, s3, etc), Kafka, Py Spark, Kubernetes, Airflow, Prefect, Tecton, Databricks, dbt,



as well as our in‑house Data Pipeline toolsLeverage Claude Code and other AI tools as productivity multipliersAll other duties, as assignedSound a-peeling? Here’s what we’re looking forExperience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring.Solid data engineering experience with the ability to design, implement, and deliver maintainable, high-quality code in Python and SQLHands‑on experience with cloud computing and data processing technologies, including Py Spark, Kubernetes, KafkaExpertise in data modeling, relational databases (e.G., Postgre SQL), object stores (e.G., AWS S3), data platforms (Databricks)Proven expertise in making efficient and robust data pipelines, including optimizing their performancePassion for leveraging AI tools to streamline collaboration and executionPassion for data quality assurance, data monitoringExpertise in end-to-end development processes, including unit, integration & functional testing, application tuning/profiling, and continuous integrationExtensive experience with agile methodologies, with a strong focus on delivery, lean thinking, and quick iterationsAbility to continuously develop yourself and learn from your peersAbility to collaborate and mentor team members, while also sharing practical knowledge and trendsFamiliarity with e-commerce and subscription-based businesses is a plusInteracting with back-end developers, front-end developers, product analysts, product managers and other teams around the world is very much part of our day‑to‑day, so communication skills are vital. We are looking for strong problem‑solvers who can apply their engineering skills to a wide range of platforms and environments, while also acting as an ambassador to coach team members and stakeholders.Let’s cut to the cheese, this is why you’ll love it hereBox Discount - Amazing discounts on 1 box per week! 75% discount on weekly Hello Fresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.Health & Wellness - Health & Dental benefits from day 1, a Health Spending

📌 Senior Machine Learning Engineer, Benefits Personalization (Toronto)
🏢 Carbon Data Solutions
📍 Toronto