Senior Staff Machine Learning Engineer, Menu Personalisation (m,f,x)

DUDE CHEM; Berlin; Vor Ort; EUR 110.000 - 150.000; Vollzeit

Benefits dieser Stelle

Equity compensation

Flexible hybrid work

Meal kit discount

Zusammenfassung

HelloFresh is seeking a technical leader to own and advance the Menu Personalization ML systems stack. You will design, build, and operate end-to-end pipelines, training workflows, model serving, and experimentation tooling, while staying hands-on across core components.

You will partner with Data Scientists, Data Engineers, Backend Engineers, and Product to drive high-impact personalization. You will set a direction for the stack, back decisions with data, and mentor engineers to raise the

Qualifikationen

• 8+ years of building and operating production ML systems.
• Architectural decisions that withstood multiple years and influenced other teams.
• Production experience with recommender systems or large-scale personalization is a strong plus.

Aufgaben

• Set the technical direction for the ML systems behind menu personalization: end-to-end stack, feature pipelines, training workflows, model serving, experimentation tooling, and infrastructure.
• Turn research into reliable production systems, partnering with Data Scientists on latency, scalability, and observability.
• Shape the personalization roadmap with Product and Engineering leadership, backing your view with data and user evidence.
• Operate what you build and monitor production systems; shipping is the start of learning.
• Raise the technical bar through architecture reviews, mentorship, and hands-on craft.
• Shape long-term architecture and make platform decisions with multi-year payoff.
• Drive engineering excellence beyond Menu Personalization to other ML and data teams.
• Collaborate with HelloFresh peers on best practices and company-wide engineering initiatives.

Kenntnisse

8+ years ML

Production ML

Recommender systems

Python

Spark

Go

Kafka

Kubernetes

Statistical design

AI tooling

Product mindset

Ownership

Tools

Python

Spark

Go

Kafka

Kubernetes

Jobbeschreibung

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.

About the Team

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.

About the Role

We are looking for a technical leader for the Menu Personalization ML systems, someone who owns the recommender stack that runs in production. You will set the direction for how we design, build, and operate the ML systems behind menu personalization, while staying hands‑on across feature pipelines, training workflows, model serving, experimentation tooling, and the infrastructure underneath. The decisions you make here shape the platform for years, not quarters, and you will be expected to hold a point of view on where personalization at HelloFresh should go 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. Your influence will reach well beyond Menu Personalization: through the standards you set, the architectural decisions you make, the engineers you grow around you, and the company-wide initiatives you drive to advance ML and data engineering craft across HelloFresh.

What you'll do

• 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.

What you'll bring

• 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.
• 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.
• 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.