---
title: 'Senior Staff Machine Learning Engineer, Menu Personalisation at HelloFresh'
canonical: 'https://feeny.ai/job/senior-staff-machine-learning-engineer-menu-personalisation-hellofresh-warszawa-ekbd3ke99eev'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Staff Machine Learning Engineer, Menu Personalisation at HelloFresh

- **Company:** HelloFresh
- **Location:** Warszawa Masovian Voivodeship, Poland
- **Posted:** 2026-06-10
- **Last confirmed live:** 2026-09-09
- **Apply:** https://careers.hellofresh.com/global/en/job/7988923?gh_jid=7988923

## Job description

## 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.

What we offer: The Toppings

- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point: The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

## About HelloFresh

## Company Overview
- **One-liner**: HelloFresh is a global meal-kit and food solutions company that delivers pre-portioned ingredients and recipes directly to consumers, aiming to revolutionize the way people eat by making home cooking accessible, convenient, and sustainable.
- **Entity Type**: Public (Ticker: HFG on the Frankfurt Stock Exchange)
- **Headquarters**: Berlin, Germany
- **Founded**: 2011
- **Founders**: Dominik Richter, Thomas Griesel, Jessica Nilsson

## Core Business
- **Primary Industry**: Meal Kit Delivery / Integrated Food Solutions
- **Target Customers**: B2C – primarily busy households, couples, and individuals looking for convenient, high-quality meal options. Also serves the ready-to-eat and pet food markets.
- **Mission Statement**: "Democratizing access to high-quality food" by allowing everyone to enjoy a varied, tasty diet while helping consumers save money and reduce food waste.

## Products & Services
- **HelloFresh (Core Meal Kits)**: The flagship subscription service offering pre-portioned ingredients and step-by-step recipes for a wide variety of meals. Type: Subscription-based physical goods.
- **Factor_**: A ready-to-eat, chef-prepared meal delivery service (operates in the US, Canada, and Australia). Type: Subscription-based physical goods.
- **Youfoodz**: A ready-to-eat meal brand in Australia. Type: Subscription-based physical goods.
- **EveryPlate**: A budget-friendly meal kit brand in the US and Australia. Type: Subscription-based physical goods.
- **Chefs Plate**: A meal kit brand in Canada. Type: Subscription-based physical goods.
- **Green Chef**: An organic-focused meal kit brand in the US. Type: Subscription-based physical goods.
- **The Pet Food Brands**: Premium pet food delivery services (e.g., The Pets Table in the US). Type: Subscription-based physical goods.

## Market Standing
- **Valuation/Market Cap**: As a public company, market cap fluctuates. As of mid-2025, it is approximately €1.5-2.0 billion (based on public trading data).
- **Key Metric (Annual Revenue)**: €6.76 billion in net revenue in FY 2025.
- **Key Metric (Meals Delivered)**: ~850 million meals delivered in 2025.
- **Key Metric (Employees)**: +29,000 employees globally.
- **Notable Investors/Partners**: The company is publicly traded. Key institutional investors include major European and US asset managers. Strategic partnerships exist with various food suppliers and logistics providers.
- **Growth Signals**: The ready-to-eat segment (Factor, Youfoodz) is a major growth driver, now making up a quarter of total revenue. The company is expanding its ready-to-eat offerings into European markets, building on success in North America and Australia. The company operates in 17 countries with 8 different brands.

## Competitive Advantages
- **Scale & Data**: With over 18,000 recipes in its database and billions of meals delivered, HelloFresh has an immense dataset on consumer preferences, supply chain optimization, and recipe development, creating a significant moat in logistics and personalization.
- **Vertical Integration**: The direct-to-consumer model gives full control over the supply chain, from sourcing to delivery, enabling efficient operations, competitive pricing, and rapid response to customer needs.
- **Multi-Brand Strategy**: By operating a portfolio of brands (from budget-friendly EveryPlate to premium Factor), HelloFresh captures a wide range of customer segments and price points, reducing reliance on a single offering.
- **Global Footprint**: Presence in 16+ geographies provides diversification and allows for the cross-pollination of best practices and technologies across markets.

## Strategic Focus
- **Accelerating Ready-to-Eat**: The company is aggressively growing its ready-to-eat segment (Factor, Youfoodz) and expanding it into new European markets, seeing it as a high-growth, higher-margin opportunity.
- **Sustainability & Efficiency**: Continuous focus on reducing food waste, optimizing packaging, and improving supply chain sustainability. The company highlights its role in reducing household food waste compared to traditional grocery shopping.
- **Technology & Personalization**: Investing in data science and machine learning to improve menu personalization, demand forecasting, and operational efficiency.
- **International Expansion**: Leveraging success in core markets (US, Germany, Australia) to expand into adjacent geographies and product categories.

## Why Work Here
- **Culture**: Described as a "global tech company" with a "local start-up vibe." The company emphasizes a data-driven, entrepreneurial, and ownership-oriented culture. Core values include Ownership, Inclusivity, and Innovation.
- **Diversity & Inclusion**: HelloFresh has over 10 employee resource groups (ERGs) and is committed to fostering a sense of belonging. The careers page states, "Everyone is welcome at our table."
- **Work Environment**: The company operates in 17 countries with multiple offices and distribution centers. Roles range from warehouse operations and logistics to software engineering, marketing, and data science.
- **Perks**: The company offers competitive pay and benefits, though specifics vary by location. The culture is described as collaborative, with a focus on "achieving something delicious, every day."
- **Growth Trajectory**: As a rapidly growing public company with a strong focus on innovation and expansion, employees have opportunities to work on high-impact projects and grow their careers across different brands and geographies.

## Sources
1. [hellofreshgroup.com](https://hellofreshgroup.com/en/)
2. [careers.hellofresh.com](https://careers.hellofresh.com/global/en/)
3. [hellofresh.com](https://www.hellofresh.com/about/working-at-hellofresh)
4. [careers.hellofresh.com/leadership](https://careers.hellofresh.com/global/en/leadership-at-hellofresh)
5. [careers.hellofresh.com/locations](https://careers.hellofresh.com/global/en/locations)

## Other roles at HelloFresh

- [FSQA Technician](https://feeny.ai/job/fsqa-technician-hellofresh-abbotsford-british-columbia-ej130bed6nj7) — Abbotsford British Columbia, Canada
- [Asset Protection Specialist](https://feeny.ai/job/asset-protection-specialist-hellofresh-newark-nj-kes2b8fttv7g) — Newark NJ, United States
- [Warehouse Lead](https://feeny.ai/job/warehouse-lead-hellofresh-aurora-il-3n4zav90se1d) — Aurora IL, United States
- [Quality Lead](https://feeny.ai/job/quality-lead-hellofresh-aurora-il-65wdz4d201ds) — Aurora IL, United States
- [Kitchen Lead](https://feeny.ai/job/kitchen-lead-hellofresh-aurora-il-ethz7y34170m) — Aurora IL, United States
- [IT Manager, Customer Care](https://feeny.ai/job/it-manager-customer-care-hellofresh-manila-y5p1j01djehq) — Manila, Philippines
- [Senior Director, Health & Safety Operations Europe](https://feeny.ai/job/senior-director-health-safety-operations-europe-hellofresh-amsterdam-north-e4qw8djnhz08) — Amsterdam North Holland, Netherlands / Berlin, Germany / United Kingdom / Warszawa Masovian Voivodeship, Poland
- [Kitchen Area Manager (All genders)](https://feeny.ai/job/kitchen-area-manager-all-genders-hellofresh-verden-niedersachsen-zxggmf20m05p) — Verden Niedersachsen, Germany
- [Supply Chain Planner (f/m/x)](https://feeny.ai/job/supply-chain-planner-f-m-x-hellofresh-paris-7dc05aybd7m0) — Paris, France
- [Cash Accounting Allocation Specialist](https://feeny.ai/job/cash-accounting-allocation-specialist-hellofresh-manila-0gcz383fdpng) — Manila, Philippines