About the role
<p>Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat &amp; seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.</p> <p>Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.</p> <p>HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.</p> <h2 data-path-to-node="8"><strong data-path-to-node="8" data-index-in-node="0">About the Team</strong></h2> <p data-path-to-node="9">Menu Personalization determines what millions of customers see when they open HelloFresh each week. The team handles the recommender systems that match customers to recipes across global markets, bringing 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 improves, customers find recipes they love faster, and HelloFresh becomes a stronger weekly habit.</p> <p data-path-to-node="10">At HelloTech, the model moves away from software developers executing tickets toward one where engineers are trusted to resolve customer problems. This involves taking a problem statement, forming a point of view, validating it with data, and shipping solutions using AI as a force multiplier.</p> <h2><strong>About the role: What's in the Box</strong></h2> <p data-path-to-node="13">This position is for a Senior Machine Learning (ML) Engineer for the Menu Personalization team to help build and operate the recommender stack running in production. The service provider will design, build, and operate ML systems across feature pipelines, training workflows, model serving, experimentation tooling, and the underlying infrastructure, holding end-to-end accountability for significant parts of the stack.</p> <p data-path-to-node="14">The role involves bringing a distinct point of view