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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

The Growth Tech Alliance's goal is to enable HelloFresh to drive smarter marketing through AI-powered automation, intelligent systems, and advanced optimization. We've pioneered cutting-edge approaches to programmatic campaign optimization using state-of-the-art AI/ML technologies and are now scaling these capabilities across our global marketing operations. Our team’s key responsibilities include designing, building, maintaining autonomous decision-making systems, advanced ML models for marketing optimization, and real-time intelligence that drives measurable business impact. We work at the intersection of modern AI architectures, deep statistical modelling, and enterprise-scale ML operations. S'more about the team As a Senior Data Scientist in AdTech, you will design, build, and deploy production-grade machine learning models that drive significant marketing ROI. You will provide critical expertise in advancing our intelligent marketing optimization systems, focusing on the entire ML lifecycle from data preprocessing and feature engineering to large-scale deployment and performance monitoring. By translating complex marketing challenges into robust production systems, you will ensure our AI-driven capabilities deliver measurable business impact and enhanced efficiency at a global scale Lettuce share what this role will be responsible for Develop, build, and iterate on advanced machine learning models across core adtech domains to optimize marketing performance and contribute to the orchestration of highly efficient marketing workflows. Design and implement ML models for Media Optimization, and contribute to their operationalization into high-impact production systems. Contribute to Creative Automation efforts by building and enhancing predictive AI models to guide our global production studios. Design and build ML models for Value Optimization to intelligently isolate high-value customers. Adhere to and contribute to the team's ML operations (MLOps) practices, focusing on experiment tracking, system observability, and model reliability in production. Rapidly prototype innovative machine learning solutions, including Gen AI-forward approaches, and integrate them into our existing, orchestrated multi-agent systems to enable complex autonomous workflows. Collaborate closely with Product, Engineering, and Marketing to identify high-impact programmatic automation opportunities and execute robust A/B testing and experimentation designs for models in high-noise environments. All other duties, as assigned Sound a-peeling? Here's what we're looking for MSc or equivalent experience in a quantitative discipline with proven experience building and deploying AI/ML systems from prototype to production at scale Expert proficiency in Python, PySpark, and SQL, hands-on experience with cloud environments (GCP, AWS, or Azure), and practical experience with modern machine learning frameworks such as HuggingFace, TensorFlow or similar. Expertise in applied machine learning relevant to AdTech, including predictive modeling, optimization algorithms, and modern LLM capabilities preferred. Proven experience tackling complex marketing data problems, such as algorithmic budget pacing, LTV prediction pipelines, or AI-driven media optimization systems. Strong foundation in statistical analysis and experimentation, with practical experience designing A/B tests to validate the incremental business impact of algorithmic systems Demonstrated ability to effectively communicate intricate analytical findings to diverse audiences, bridging the gap between deep technical implementation and core business KPIs Track record of building production ML systems with robust practices, demonstrating a bias for action and extreme ownership, treating the business outcomes of your algorithms with a true Founder Mentality Experience with programmatic advertising ecosystems, marketing analytics, and the operational aspects of running performance-critical ML models in high-traffic environments 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 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 $150,000 — $190,000 CAD