Senior Staff Machine Learning Engineer, Menu Personalisation

Навыки

• Kafka
• Kubernetes
• Лидерство
• Machine Learning
• Мониторинг и observability
• Ответственность за результат
• Puppet / Chef / Salt

О компании и продукте

• 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.
• 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.

Задачи

• Set the technical direction for the ML systems behind menu personalization, owning the end-to-end stack: 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
• Shape the personalization roadmap with Product and Engineering leadership, backing your point of view with data and user evidence
• 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
• Raise the technical bar across the team through architecture reviews, mentorship, and the example you set on production ML craft
• Shape long-term architecture and make platform decisions whose payoff plays out over years rather than quarters
• Drive engineering excellence beyond Menu Personalization by setting standards other ML and data teams adopt
• Sync with peers across HelloFresh on best practices and contribute to company-wide engineering initiatives that move the broader ML and data craft forward

Требования

• 8+ years building and operating production ML systems, with a track record of technical leadership at scale
• Architectural decisions in your past that held up over multiple years and influenced teams beyond your own
• Production experience with recommender systems or large-scale personalization is a strong plus
• Fluency across our data and ML stack (Python, Spark) and 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
• Shape the future of food: Play a key role in transforming how millions of people eat as we grow into a global food solutions company
• Drive transformational change: Your decisions will have a direct and immediate impact, helping to shape strategy, scale teams, and redefine leadership in a rapidly evolving business
• Build a global brand: Create deeper, more sustainable connections with our customers, putting them at the heart of every decision
• Thrive in a high-performance environment: Work with ambitious, intellectually curious peers on a global scale, enjoying an environment built for empowerment and speed
• Enjoy a discount: on HelloFresh meal kits, delivered straight to your door
• Flexible Hybrid Approach
• At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs
• Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience
• To meet these needs, we are pleased to provide Flexible Hybrid work
• Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days
• This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week

Условия

• Benefit from long-term wealth creation: Your compensation is heavily weighted toward equity, directly aligning your personal success with the company's future through our Virtual Stock Option (VSO) and Restricted Stock Unit (RSU) plans

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