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Join HelloFresh in Warsaw as part of HelloTech, our global technology organisation of 1000+ people building the digital products behind our end-to-end food experience from meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood. Our subscription-based, direct-to-consumer model runs on technology at every step: customer-facing apps, personalization, pricing, forecasting, supply chain, and food-waste reduction. Each of our brands serves distinct customer needs, but all are powered by the shared platforms, data, and engineering standards that HelloTech builds. HelloTech is organized into autonomous, cross-functional alliances, each owning a specific domain end-to-end. From our Warsaw office, you'll help shape scalable, data-driven products used across all our markets, working with a modern tech stack and international teams to keep improving how people discover, order, and enjoy HelloFresh's products. About the role: What's in the Box You'll join the Shopping AI & Search squad, part of the Shopping Journey tribe within our Consumer Alliance. Shopping Journey's mission is to help customers build lasting habits with HelloFresh, making it effortless to manage a subscription, find and order what they love, and get help when something goes wrong. Within that tribe, Shopping AI & Search owns a specific bet: building unified AI Assistant experiences for HelloFresh customers inside the chatbot and across the broader shopping journey, including personalized and conversational search and proactive in-app recommendations. The goal is a shopping experience that feels like it understands the customer, wherever they encounter it. As a Staff Backend Product Engineer, you'll provide technical leadership across this initiative, shaping architecture, driving technical decisions, and helping the squad (and its neighbors) build AI-powered systems that are fast, reliable, and genuinely useful, not just impressive in a demo. What you'll do: The Recipe Lead the technical architecture for unified AI Assistant experiences spanning conversational search, personalized search, and proactive in-app recommendations — so the experience holds together whether the customer is in the chatbot or elsewhere in the app. Own end-to-end technical decisions around integrating LLM-powered capabilities into customer-facing systems, weighing quality, latency, and cost at scale. Act as the technical bridge between Shopping AI & Search, neighboring squads across Shopping Journey, and product/platform stakeholders, so architecture stays coherent as the assistant expands to new surfaces. Define and drive engineering best practices for building and operating AI-powered systems — observability, graceful degradation, and testing strategies for components that are inherently probabilistic. Provide technical leadership through architecture reviews, design discussions, and hands-on mentoring that raises the engineering bar across the tribe. Use AI coding tools (e.g. Claude, Cursor) as a standard part of how you build, and help shape how the wider team adopts AI-assisted engineering practices. Shape the technical roadmap by spotting architectural bottlenecks early and proposing improvements before they become blockers. What you'll bring: The Ingredients 8+ years of backend engineering experience, with deep expertise in distributed systems, microservices, and event-driven architecture (Kafka, RabbitMQ, or AWS SQS/SNS). Strong hands-on proficiency in Go, or another modern backend language (Java/Kotlin, Python, or TypeScript/Node.js), with the willingness to work in Go, our squad's primary stack. Practical experience integrating LLMs or other AI services into production systems via APIs/SDKs. This isn't an ML engineering role — we're not training foundation models — but you're comfortable designing around how they behave: latency, cost, and non-determinism. Genuine, daily hands-on use of AI coding tools (Claude Code, Cursor, Copilot, or similar) that goes beyond casual experimentation, with a practical sense of how the context you give these tools shapes what you get back. Solid understanding of modern cloud infrastructure (AWS, Kubernetes) and observability practices, with the ability to set and advocate for standards across the tribe. A track record of turning ambiguous product problems — search relevance, recommendation quality, conversational UX — into a clear technical roadmap. A collaborative, low-ego approach to problem-solving, strong technical judgment, and a real interest in mentoring other engineers. Excellent communication skills and comfort working with senior stakeholders and distributed, international teams. Prior experience with search or recommendation systems is a plus, not a requirement what matters most is your ability to design and operate reliable, scalable backend systems and reason well about new ones. Above all, we're looking for people who will make HelloFresh better. We know there's more than one path to the skills this role needs — if you don't tick every box but think you'd thrive here, we'd still like to hear from you. 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 love to hear from you. We aim to review your profile and respond within 5 business days.

The CVO Tribe CVO owns two of HelloFresh's largest economic levers: benefit optimization and pricing . The tribe uses machine learning, personalization, and lifetime-value prediction to replace manual, rules-based decisioning with data-driven systems. The engineering org is globally distributed across Berlin, Warsaw, NYC, Boulder, and Toronto, and includes Frontend, Backend, Data, and ML Engineering, working closely with embedded Data Scientists. The work spans a genuinely mixed engineering profile: ML-heavy systems for benefit recommendation, personalization, and customer lifetime-value forecasting, alongside backend and distributed-systems work powering pricing infrastructure and subscription products at scale. As Senior Director, based in Berlin, you'll lead this full spectrum, setting technical strategy across ML, backend, and data disciplines and across time zones, without relying on daily co-location. What you'll do Lead an organization of 25-30 engineers, data scientists, and ML practitioners across Berlin, Warsaw, NYC, Boulder, and Toronto, through a layer of Engineering Managers and Staff Engineers reporting into you. Own ML strategy for benefit recommendation, personalization, and customer lifetime-value forecasting, as well as backend and distributed-systems strategy for pricing and subscription infrastructure. Drive the transformation of ways of working toward fully GenAI-native, cross-functional product teams, building on teams that already ship the majority of their code with AI assistance. Own reliability and operational excellence across both ML and backend systems: observability from model output through to customer-facing delivery, SLOs/SLIs, incident management, and MLOps practices such as retraining, rollback, and experiment tracking. Partner with Product, Data Science, Marketing, Finance, and adjacent engineering teams to align engineering priorities with business outcomes. Manage and develop Engineering Managers and Data Science Leads across disciplines and geographies, holding them accountable for team health, delivery, and engineering standards. What you'll bring Range across ML and backend engineering. You don't need to be hands-on expert in both, but you need credibility in each: enough ML depth to set direction on production ML systems and partner effectively with Data Science, enough distributed-systems depth to be a trusted partner on pricing infrastructure and subscription products. Proven leadership of globally distributed teams across multiple countries and time zones, without daily co-location. Comfortable with regular travel and bridging US and European hours. Deep ML engineering expertise , including feature engineering, training/serving infrastructure, experimentation, and MLOps. Causal inference or uplift modeling experience is a plus. Distributed systems and backend depth , including scaling backend services and data pipelines in revenue-sensitive, high-throughput environments. Subscription or billing experience is a plus. AI-native leadership , with a track record of building or scaling AI-native engineering practices, not just adopting AI tools. Commercial and pricing domain fluency , or strong aptitude to build it quickly, including benefit optimization, lifetime-value forecasting, and pricing elasticity. Proven leadership at scale : 12+ years in software/ML engineering, with 5+ years managing Engineering Managers across more than one technical discipline and geography. Operational excellence mindset , with strong grounding in SRE and MLOps practices for systems with direct financial impact. Strong cross-functional communication , translating ML, data, and backend concepts into business terms and vice versa. Low ego, high ownership, and a bias toward clarity over complexity. What we offer Global collaboration across HelloTech's hubs in Berlin, Warsaw, NYC, Boulder, and Toronto. High-leverage, technically diverse work spanning ML, backend, data, and product engineering, with a direct line to business outcomes. A genuinely AI-native environment with a mandate to scale that approach further. Technical and engineering leadership in an autonomous, product-led setup, with end-to-end ownership from problem definition to production. Enjoy a discount on HelloFresh meal kits, delivered straight to your door. Build for the long-term with our company pension scheme (not available for interns/working students). Benefit from discounted memberships with Urban Sports Club and John Reed, yoga classes, and access to Headspace and Spill. Balance your work and life with flexible hours, Work From Home/Abroad options, and a home office setup budget. Receive childcare support (not available for interns/working students). Get a monthly allowance for the Deutschlandticket to support sustainable commuting. Embrace "Learning Never Stops" with access to internal trainings and a central L&D budget (remove for interns). Work from a modern, comfortable office in Berlin-Kreuzberg and enjoy social events like team outings, Friday beers, and company runs. Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences, so even if you don't tick every box but think you'd thrive in this role, we'd really like to hear from you.

Deine Rolle Als Junior Recipe Developer (all genders) wirst du Teil unseres Recipe Development Teams im DACH Customer Domain und arbeitest eng mit verschiedenen Teams wie Strategic Product Development, Ingredient Development und Menu Planning zusammen. Neben der Entwicklung und Zubereitung eigener Rezepte lokalisierst und adaptierst du Rezepte für den DACH-Markt und stellst durch die Überarbeitung von Rezepttexten und Kochanleitungen sicher, dass unsere Rezepte klar, konsistent und passend zu unseren lokalen Anforderungen sind. Dabei lernst du von erfahrenen Kolleg:innen aus unterschiedlichen Fachbereichen und hast viel Raum, deine eigenen Fähigkeiten und Expertise weiterzuentwickeln. Diese Stelle ist für 24 Monate zu besetzen (eine Verlängerung ist möglich). Dein Verantwortungsbereich Du wirst … Rezepte mit starkem kulinarischem Handwerk für verschiedene Ernährungsformen entwickeln und zubereiten – von omnivor und flexitarisch über vegetarisch bis vegan – und dabei immer im Blick behalten, was unsere DACH-Kund wirklich gerne kochen und essen. Rezepte und Kochanleitungen aus anderen HelloFresh-Märkten ins Deutsche übersetzen und für den DACH-Markt adaptieren, unter Berücksichtigung lokaler Geschmäcker, der Zutatenverfügbarkeit und operativer Anforderungen. Rezepttexte, Kochanleitungen und weitere kulinarische Inhalte gemäß unserem DACH Style Guide Korrektur lesen und überarbeiten, um Genauigkeit, Konsistenz und eine hervorragende Customer Experience sicherzustellen. Alltagsnahe, zugängliche und appetitliche Rezepte entwickeln, die sich unkompliziert in das Leben unserer Kund integrieren lassen – statt auf Fine-Dining-Küche zu setzen. Innerhalb eines definierten Zutatenportfolios und auf Basis strategischer Briefings arbeiten und dabei Saisonalität sowie Budget- und Kostenziele berücksichtigen, ohne Geschmack oder Qualität zu beeinträchtigen. Unsere Rezepte und Inhalte kontinuierlich auf Basis von Kundenfeedback und Qualitätsdaten optimieren und sicherstellen, dass unsere Produkt- und Qualitätsstandards während des gesamten Entwicklungsprozesses eingehalten werden. Dein Profil Du bringst mit … Erste Berufserfahrung in der Rezeptentwicklung, Kochkunst, Food Media/Publishing oder einem vergleichbaren Bereich; relevante Praktika oder Ausbildungen zählen ebenfalls. Ein gutes Gespür dafür, was HelloFresh-Kund unter der Woche gerne kochen und essen – unkomplizierte, alltagstaugliche und leckere Gerichte. Freude daran, innerhalb klarer Rahmenbedingungen kreativ zu arbeiten, Rezepte auf Basis eines definierten Zutatenportfolios und strategischer Briefings zu entwickeln und dabei Saisonalität sowie Kosten- und Qualitätsziele auszubalancieren. Eine strukturierte, teamorientierte und agile Arbeitsweise, kreative Problemlösungskompetenz sowie die Fähigkeit, auch bei wechselnden Prioritäten zuverlässig und organisiert zu bleiben. Muttersprachliche oder nahezu muttersprachliche Deutschkenntnisse sowie sehr gute schriftliche und mündliche Englischkenntnisse. Freude an der Zusammenarbeit mit verschiedenen Fachbereichen und eine klare, wertschätzende und kommunikative Art. Das bieten wir Dir Einen Wohlfühlarbeitsplatz mit einem tollen Team in Berlin-Kreuzberg Rabatte auf unsere HelloFresh Kochboxen und Convini-Produkte Weiterentwicklungsmöglichkeiten durch interne Trainings sowie ein jährliches Team-Budget für Weiterbildung Ein flexibles Arbeitsumfeld mit Vertrauensarbeitszeit, Work From Home/Work From Abroad/Sabbatical Policy sowie ein Budget zur Einrichtung des Home Office Ein umfassendes Onboarding inkl. Buddy-Programm Spaß bei Teamevents, Friday Beers, Company Runs, Buchclub u.v.m. Vergünstigte Fitnessangebote bei Urban Sports Club bzw. John Reed, regelmäßige Yoga-Sessions Initiativen für das Wohlbefinden durch Kooperationen mit der Headspace-App und Spill Unterstützungsangebote bei der Kinderbetreuung Betriebliche Altersvorsorge Einen monatlichen Zuschuss zum Deutschlandticket Du bist auch hungrig nach mehr? Bewirb Dich jetzt mit Deinen vollständigen Bewerbungsunterlagen, gerne auch ohne Lichtbild und ohne Angabe von spezifischen Merkmalen wie Nationalität oder Geschlecht. Sprachzertifikate und Unterlagen zur Aufenthalts- und Arbeitserlaubnis können gerne mit eingereicht werden. Wir freuen uns auf Dich! #JD1002

S'more about the team The Menu Operations team ensures the accuracy, reliability, and consistency of data and workflows across our ecosystem. This role will focus on automated data validation, cross-system reconciliation, monitoring, troubleshooting, and developing scalable solutions that improve data quality and operational efficiency. The role will work closely with engineering, product, culinary, editorial, and business teams to identify data issues, improve validation processes, and standardize best practices across markets. As we continue evolving this system, extending its capabilities, and preparing for expansion, we are looking for a Senior Software Engineer with strong backend experience, a talent for turning complex logic into clean, reliable systems, and enough full-stack fluency to support and enhance our internal application. Above all, we are looking for people who will make HelloFresh 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 for Work beyond your specialization when the problem demands it. Your specialization is your anchor, not your boundary. Operate what you build. You instrument, monitor, and improve your systems in production. Shipping is the beginning of the learning cycle, not the end. Design and delivery of scalable backend platforms and distributed systems, leveraging AI-assisted and agentic engineering workflows to accelerate delivery and improve system quality. Design, develop, and maintain backend services, ensuring scalable, reliable API interactions with our internal application Collaborate closely with engineers, analysts, and planners to translate domain knowledge into robust, maintainable system logic Contribute to the evolution of the platform toward event-driven patterns using technologies like Kafka Support frontend needs for our internal React application, ensuring seamless integration between FE and BE layers Improve reliability through automated testing, performance tuning, and thoughtful system design Guide as well as learn through pairing, design discussions, and knowledge sharing to help strengthen collective ownership across a strong, team-first environment Participate in shaping the future direction of an advanced system All other duties, as assigned Sound a-peeling? Here's what we're looking for Proficiency and production experience with one or more backend languages such as Golang, Python, or Java. Hands-on experience with Docker, Kubernetes, and modern CI/CD practices in production environments. Bachelor’s or Master’s degree in Computer Science, Engineering or related field Hands-on experience building production-grade APIs Solid knowledge and experience with relational databases and comfortable working with data across various data systems (PostgreSQL, Snowflake, S3) Experience with event-driven architecture and messaging technologies (Kafka) Working knowledge of cloud environments, containerization, and orchestration (AWS, Docker, Airflow) Experience contributing to or designing scalable architecture for internal tools or operational platforms Full-stack capability with React or another modern FE framework a plus — enough to support and enhance application Strong communication skills and a proactive, collaborative approach to working with engineers, analysts, planners, and product partners Comfort working through ambiguity and contributing clarity through simple, pragmatic design choices A mindset of continuous learning, knowledge sharing, and improving the systems Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents every day. You have a practical sense of how the context you provide to AI tools shapes output quality, and how to set boundaries on AI-generated work. You take full ownership. You have a bias to ship. You finish the last twenty percent. You have product sense and are opinionated about what should be built and why, and you can back that opinion with data and user evidence. Let’s cut to the cheese, this is why you'll love it here Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box. Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships! RRSP Matching - Competitive RRSP matching program offered Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. Family Benefits - A parental leave top-up program for expectant parents. Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun! Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts. Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names! 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. #LI-HYBRID HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team. This is a posting for an existing vacancy. We are actively seeking to fill this position. Toronto, ON Pay Range $120,000 — $150,000 CAD

The Senior Data Scientist is responsible for building, testing, and deploying statistical and machine learning models, and conducting data deep dives which drive a better understanding of our customers, products, and operations. Reporting to the Senior Manager, Data Science and Engineering, this role will be responsible for devising and building effective and scalable data-driven solutions. Lettuce share what this role will be responsible for Collaborate with data engineers, data analysts, enterprise architects and functional business units to design and execute end-to-end AI integration strategies across business workflows. Lead the design, building, fine-tuning, and deployment of data and AI solutions, including statistical models, ML pipelines, Generative AI applications, and advanced statistical analysis. Architect and integrate AI models, APIs, and microservices into production environments, ensuring seamless operational performance, security, and scalability. Coach junior data scientists on AI engineering, ML integration best practices, and effective data science project delivery. Maintain up-to-date knowledge of emerging machine learning, deep learning, and Generative AI frameworks, identifying novel applications for the business. Liaise with Global data science teams to identify opportunities for cross-functional collaboration, code reviews, joint AI initiatives, and the adoption of new technologies. Contribute to the development, implementation, and governance of the global MLOps and LLMOps platforms in Canada. All other duties, as assigned Sound a-peeling? Here's what we're looking for 3–5 years of experience leading data science projects and driving quantifiable business value. Proven track record of integrating AI models into existing business workflows and production software applications. Experience identifying business opportunities for AI and ML solutions, scoping and prioritizing projects, and structuring execution strategies. Hands-on experience with MLOps/LLMOps frameworks, API integrations, and model monitoring/evaluation in production. Strong proficiency in Python programming and modern ML/AI frameworks Advanced SQL querying skills. Bachelor’s degree in STEM, Economics, or Business preferred, or equivalent work experience. Let’s cut to the cheese, this is why you'll love it here Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box. Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships! RRSP Matching - Competitive RRSP matching program offered Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. Family Benefits - A parental leave top-up program for expectant parents. Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund. Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun! Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts. Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names! 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. #LI-HYBRID Working Conditions It’s no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process. HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team. This is a posting for an existing vacancy. We are actively seeking to fill this position. Interested in joining the HelloFresh team? Don’t be chai, apply! Submit your application in PDF format today. Toronto, ON Pay Range $104,000 — $114,000 CAD

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 & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month. 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. 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. About the Team The Supply Chain Data Engineering team powers the end-to-end operational backbone of HelloFresh across our global markets. Our core mission is to harmonize supply chain data to enable seamless, data-driven decision-making across enterprise domains - including menu planning, procurement, fulfillment, logistics. We build, scale, and maintain the foundational data assets that power critical operational processes and telemetry. Bringing together Data Engineers, Data Scientists, Operations Analysts, and Product Managers, our autonomous, cross-functional team transforms massive operational data streams into actionable intelligence to optimize forecasting, logistics, kitting, inventory, minimize food waste, and ensure the timely delivery of fresh ingredients to millions of customers worldwide. About the Role: What's in the Box As a Data Engineer in Supply Chain Operations, you will take technical ownership of the end-to-end data lifecycle—spanning system architecture, pipeline design, production development, and continuous operations. You will build and scale high-throughput batch and real-time streaming data pipelines that harmonize data streams across menu planning, forecasting, procurement, fulfillment and logistics. In this role, you play a critical part in driving operational efficiency, cost optimization, and supply chain scalability by ensuring our global data infrastructure is performant, resilient, and mission-critical. Partnering closely with Data Scientists, Operations Analysts, and SCM stakeholders, you will model complex physical domain entities and engineer robust data assets that power real-time tracking, analytics, and automated decision-making across HelloFresh's operational business process. What You'll Do: The Recipe Become an integral part of a high-impact engineering team supporting global supply chain, procurement, and logistics operations. Design, build, and maintain robust batch and streaming data pipelines connecting procurement systems, warehouse management systems (WMS), and logistics networks. Model complex supply chain domains—including recipe component sourcing, inventory turnover, fulfillment batching, and route optimization—into clean, scalable analytical datasets. Develop real-time data integrations for tracking ingredient inventory levels, order assembly status, and carrier shipment tracking across distribution centers. Partner with Data Scientists and Operations Analysts to operationalize demand forecasting models, waste reduction algorithms, and safety stock optimizations. Ensure high data quality, freshness, and lineage tracking for operational dashboards, executive KPIs, and automated logistics alerts. Work with modern cloud data technologies such as AWS (S3, EMR, Glue, Redshift), Apache Spark/PySpark, Kafka, Airflow, Snowflake, and Databricks. Collaborate closely with cross-functional stakeholders in Procurement, Fulfillment Operations, Logistics, and Product to turn physical workflow requirements into data infrastructure. Contribute to a collaborative and knowledge-sharing environment, providing technical guidance and coaching to team members and stakeholders. Work beyond your specialization when the problem demands it. Your specialization is your anchor, not your boundary. Operate what you build. You instrument, monitor, and improve your systems in production. Shipping is the beginning of the learning cycle, not the end. What You'll Bring: The Ingredients Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents every day. You have a practical sense of how the context you provide to AI tools shapes output quality, and how to set boundaries on AI-generated work. Proven track record of scientific or engineering work (Bachelor's, Master's, or PhD) in computer science, software engineering or related field. 3+ years of work experience as a Data Engineer, including delivery of production data. Fluency in Python, SQL, and PySpark for building scalable ETL/ELT data pipelines on a modern cloud data infrastructure. Strong data modeling expertise (dimensional modeling, relational architecture, event-driven data streams) applied to physical supply chain or logistics operations. Experience with software development practices and tools such as Git, CI/CD, Docker, and AWS. Exceptional communication capabilities to bridge technical implementation details with warehouse operators, logistics planners, and business stakeholders. You take full ownership. You have a bias to ship. You finish the last twenty percent. You have product sense and are opinionated about what should be built and why, and you can back that opinion with data and user evidence. 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.

The role and the team You'll join HelloFresh's GenAI Enablement Squad, a cross-functional team helping teams across the company unlock the practical value of AI. Our mission is simple: identify high-impact problems, build AI-powered solutions that solve them, and scale what works. As a Senior Forward Deployed Engineer , you'll work directly with engineering teams and business functions to understand their workflows, identify high-value opportunities, and build AI-powered solutions that solve real operational problems. You'll act as the bridge between users and technology—embedding with teams, rapidly iterating on prototypes, and turning successful ideas into production systems. This is a highly hands-on engineering role. You'll own projects from discovery through deployment, collaborating closely with product managers, engineers, and non-technical stakeholders. You'll thrive in ambiguous environments, moving quickly to validate ideas while maintaining the engineering quality required for production. You'll join a team that values pragmatism over hype. We use the best tool for the problem—not the newest one—and measure success by the impact our solutions create. What you'll do Partner directly with engineering and business teams across HelloFresh to understand their workflows and identify opportunities where AI can create measurable value. Embed with teams to rapidly prototype AI-powered solutions, gather feedback, and iterate based on real user needs. Design, build, deploy, and operate production-grade AI applications, including agents, workflow automations, retrieval systems, and internal tools. Build role-specific AI assistants distributed through our internal plugin marketplace, enabling teams to automate repetitive work and improve productivity. Work across the full lifecycle of AI solutions—from discovery and experimentation to production deployment and continuous improvement. Balance speed with engineering quality, ensuring solutions are reliable, observable, secure, and cost-effective. Collaborate closely with platform engineers to leverage and improve shared AI infrastructure where appropriate. Share learnings and reusable patterns that help accelerate future AI initiatives across the organization. Mentor teammates through collaboration, code reviews, and technical discussions. What you'll bring Experience building and shipping production AI applications using modern LLMs, including agents, RAG, workflow automation, structured generation, and LLM evaluation. Strong software engineering skills with experience designing and operating production systems. Experience working directly with customers or business stakeholders to translate ambiguous problems into practical software solutions. A product mindset with a focus on delivering measurable user and business impact. Ability to rapidly prototype ideas while knowing when to invest in scalability, reliability, and long-term maintainability. Experience with managed AI platforms such as AWS Bedrock, OpenAI, Anthropic, or Google Vertex AI. Strong programming skills in Python or another modern programming language. Excellent communication skills and the ability to collaborate effectively across technical and non-technical audiences. Curiosity, pragmatism, and a bias toward action. Nice to have Experience building internal developer tools or productivity platforms. Experience evaluating AI systems for quality, latency, and cost. Familiarity with agent frameworks, MCP, tool calling, or workflow orchestration. Experience deploying AI solutions in enterprise environments. Experience measuring adoption and business impact of AI products. 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. 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 are seeking a Senior Machine Learning Engineer to join the Growth Tech Alliance. In this role, you will architect and deploy the robust infrastructure behind our intelligent marketing systems. You will be responsible for maturing algorithmic prototypes into high-performance production systems, ensuring our AI-driven marketing optimization is served reliably and autonomously at a global scale. S'more about the team We are hiring a Senior Machine Learning Engineer to take our AI tooling to the next level by architecting and deploying the robust infrastructure behind our intelligent marketing optimization systems. You will provide critical engineering execution for our AI initiatives. You will develop scalable microservices for predictive scoring, orchestrate complex LLM-based agents for creative intelligence. As the ML engineering expert for the team, you will drive the maturation of algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented scale. Lettuce share what this role will be responsible for As a core member of the engineering team, you will focus on productionizing ML infrastructure across several domains: Build robust integration layers for visual AI pipelines that process multi-modal embeddings that power various predictive models. Transition proof-of-concept models into resilient production microservices and architect LLM-based orchestration frameworks. Engineer high-throughput, low-latency data pipelines to process 1P data and pipeline signals into external platforms like Meta and Google. Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency. Establish CI/CD processes, feature stores, and drift detection to ensure continuous delivery and model reliability. Work beyond your specialization when the problem demands it. Your specialization is your anchor, not your boundary. Operate what you build. You instrument, monitor, and improve your systems in production. Shipping is the beginning of the learning cycle, not the end. All other duties, as assigned Sound a-peeling? Here's what we're looking for Hands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents every day. You have a practical sense of how the context you provide to AI tools shapes output quality, and how to set boundaries on AI-generated work. Experience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring. Expertise in leveraging hyperscaler ecosystems (AWS, GCP, Azure) to build cost-effective, resilient, and automated ML infrastructure. Deep technical proficiency with modern ML frameworks (PyTorch, TensorFlow, HuggingFace) Expert programming skills in Python and PySpark. A BS/MS in Computer Science or a related engineering field, coupled with a proven track record of bringing ML systems from prototype to high-traffic production. Proven experience engineering robust data architectures that reliably process and combine diverse data formats, ranging from structured offline conversion data to unstructured multimedia assets. A demonstrated bias for action and extreme ownership, eager to adopt Gen AI tools to creatively solve architectural challenges and enhance engineering velocity. You take full ownership. You have a bias to ship. You finish the last twenty percent. You have product sense and are opinionated about what should be built and why, and you can back that opinion with data and user evidence. Let’s cut to the cheese, this is why you'll love it here Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box. Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships! Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. Family Benefits - A parental leave top-up program for expectant parents. Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun! Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts. Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names! 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. #LI-HYBRID #Engineering HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team. This is a posting for an existing vacancy. We are actively seeking to fill this position. Toronto, ON Pay Range $170,000 — $200,000 CAD