Machine Learning Engineer (personalization) m/f/d

🏢 Summary: Mid-level Quality Engineer role in a mobile product team focused on building and owning quality practices from scratch. The position involves embedding structured quality processes, introducing test automation and CI/CD checks, and driving continuous improvements in an agile, cloud-based environment. You will work closely with developers and product stakeholders to ensure high-quality mobile app delivery. 🗂️ Requirements: Proven QA experience in mobile app product teams, Strong understanding of software quality processes and risk management, Hands-on experience with test automation, Experience setting up automation frameworks, Experience with CI/CD pipelines, Knowledge of shift-left testing practices, Ability to work in agile environment, Strong technical communication skills 📃 Skills: QA, Testing, Automation, Mobile, CI/CD, Agile, Cloud, SOA, Event-driven, Git 🏢 Description: ABOUT US limango is a European platform focused on curated value shopping for families. As part of the OTTO Group - one of Europe’s leading e-commerce players - we connect families with inspiring brands, great deals, and products they truly love. Our ambition is to strengthen our position as one of Europe’s leading discount e-commerce players for families and beyond. Today, limango operates across Germany, Poland Austria, and the Netherlands, offering one of the largest selections for the whole family: from fashion and accessories to toys, outdoor, cosmetics, home and travel offers. Behind the platform is a team that values a good atmosphere, trust, collaboration, flexibility and real impact.  We foster a hybrid-first culture in Munich and Wrocław (2 days in the office), while staying open to remote talent who value the same way of working. JOIN THE LIMANGO IT! At Limango IT, you’ll have the chance to apply your ideas and expertise to improve customer service and order management for the German, Polish, and Dutch markets. You’ll work with a modern technology stack, including cloud-based solutions, service-oriented architecture, and event-driven communication. Additionally, you’ll join an established international agile team comprising experienced developers, a dedicated Product Owner, and a QA engineer. YOUR MAIN TASKS Help build an internal Mobile Product Team’s quality practice from scratch; define and own how quality is measured and delivered. Observe the team, identify real quality gaps and inefficiencies, and drive pragmatic, incremental improvements. Work closely with developers, product and tech leadership to embed quality into the development lifecycle. Introduce structured, context-aware quality processes (shift-left testing, release readiness, risk-based approaches). Design and grow test automation and CI/CD quality checks when the team is ready. Participate in design/code reviews, flaky test mitigation, and create lightweight quality metrics. Act as a Quality Engineer owning outcomes and coaching the team, not only executing test cases. WHAT WE EXPECT Proven QA / Quality Engineer experience within mobile app product teams (Mid level, strong). Broad understanding of software quality beyond test execution: processes, risk, ownership. Hands-on experience with test automation; experience setting up automation frameworks from scratch is a strong plus. Comfortable working in an evolving environment; pragmatic and context-driven. Strong communication skills and ability to challenge decisions constructively. WHAT WE OFFER Hybrid or remote work model Enjoy the flexibility to work either in a hybrid model with 2 days per week in our Wrocław office (you choose the days) if you’re based locally - or fully remotely from anywhere in Poland. Flexible start to your day Flexible start times let you plan your working day in a way that fits your schedule. Real benefits you’ll actually use Enjoy our products your way, for yourself or your loved ones. Plus, a wellbeing platform with access to health programs, webinars and challenges, as well as private medical care (Lux Med) for you and your family and a Multisport card. Office vibes we enjoy A treadmill under a desk, ping-pong table, popcorn machine, Xbox console or a quick break on a massage mat - small things that make your day better. You’re also welcome to bring your child or pet to the office - we genuinely love having them around 😊 Learning & development Access to language learning (English, German, Polish) via an app, along with a wide range of courses, podcasts and learning tools. You’ll also grow through international projects, collaboration and opportunities for occasional business trips that give you exposure to different teams and perspectives. Eco in action From Brita water dispensers instead of plastic bottles to eco-friendly document disposal - we focus on everyday habits that make a real difference. We’ve even planted our own Limango tree to support green spaces in Wrocław. Activities and Events From sports events to team gatherings, company wide events or casual afterwork events in our office - we like to stay active, spend time together and keep things social, in a natural and easy-going way. We look forward to receiving your complete application ( in english), including a letter of motivation, references/ certificates, salary expectations and your earliest possible start date (. We can't wait to get to know you. Apply now!

🏢 Summary: The offer is for a Product Owner responsible for defining and prioritizing the mobile app (Android and iOS) roadmap in an international e-commerce environment. The role focuses on managing the product backlog, aligning stakeholders, and delivering high-quality mobile features in an agile, cloud-based, service-oriented architecture. You will work closely with cross-functional teams to drive continuous releases and integrate AI workflows into daily operations. 🗂️ Requirements: Few years of experience as Product Owner in mobile app projects, Experience in software development teams, Strong knowledge of Agile methodologies, Experience with Android and iOS app products, Ability to manage and prioritize product backlog, Ability to analyze data and user feedback, Experience in stakeholder management, Understanding of AI workflow integration, Experience with continuous release cycles, Fluency in collaboration with cross-functional teams 📃 Skills: Agile, Android, iOS, AI, Scrum, Kanban, Mobile, Cloud, SOA, APIs 🏢 Description: At limango, we’ve been shaping the world of e-commerce for over 18 years. Together with our platforms in the Netherlands, Germany, and Austria, we are proud to be part of the OTTO Group, one of Europe’s leading e-commerce players. We offer the largest selection of products for the entire family, making us a go-to shopping destination for millions of customers across Europe. But limango is more than just a platform, it's a community. We believe in working and growing together, valuing a healthy work-life balance and fostering a culture built on respect, trust, and equality. If these values resonate with you, there’s a good chance you’ll feel right at home with us. We foster a culture built around hybrid work in Wrocław (2 days in the office), while staying open to remote talent who value collaboration and real impact. Join the limango IT! At Limango IT, you’ll have the chance to apply your ideas and expertise to improve customer service and order management for the German, Polish, and Dutch markets. You’ll work with a modern technology stack, including cloud-based solutions, service-oriented architecture, and event-driven communication. Additionally, you’ll join an established international agile team comprising experienced developers, a dedicated Product Owner, and a QA engineer. We are looking for a Product Owner who will be responsible for defining and prioritizing our mobile app on Android and iOS. The ideal candidate must be able to work collaboratively with the development team, stakeholders, and customers to create and maintain a product roadmap that aligns with the company's vision and goals. Key Responsibilities: Define the product vision, roadmap, and strategy for the app team. Develop a deep understanding of the customer needs and behaviors, and work closely with the development team to deliver high-quality features that meet those needs. Prioritize and manage the product backlog based on data and user feedback, ensuring that the most valuable and high-impact features are being delivered first. Collaborate with cross-functional teams including design, engineering, QA, and product management to ensure that features are delivered on time and to the required quality. Conduct user research and analysis to identify new opportunities and improve the product's usability, accessibility, and user experience. Continuously monitor the market, competitors, and industry trends to ensure that the product remains competitive and innovative. Managing expectations and stakeholders effectively. Managing a continuous release cycle for iOS & Android and ensuring a good placement in the relevant app stores. You'll need: Minimum of few years of experience as a Product Owner or similar role in a software development team with a strong focus on mobile apps . Strong understanding of Agile development methodologies and principles. Integration of AI workflows into the daily operations to make work more effective Excellent communication, interpersonal, and stakeholder management skills. Ability to analyze and synthesize data to make informed decisions. Strong organizational skills and attention to detail. Ability to work collaboratively in a team environment and independently. Passion for mobile app development and emerging technologies. Bachelor's degree in Computer Science, Engineering, or a related field is a plus. What We Offer & What You Can Expect Challenging tasks and real impact, you’ll be directly involved in bringing new projects to life and influencing how we grow as a e-commerce business. Fast-paced learning environment, we’re an international team, so you’ll constantly pick up new skills and insights. Flexible working hours and B2B contract, choose when and how you work. Lots of room to grow, through hands-on experience, training, and working with experts from different parts of the world. Benefits Hybrid working model for people from Wrocław, remote working for people from other locations. Private healthcare, we provide access to the best specialists for you and your loved ones through Luxmed. Language classes, join English, German, and Polish lessons in small groups, tailored to your current skill level. Multisport card, stay active and healthy with a Multisport card giving you access to numerous fitness clubs and sports facilities. Team events with great people, we love spending time together after hours,whether it’s fun office meetups or organized outings. We look forward to receiving your complete application, including a letter of motivation, references/ certificates, salary expectations and your earliest possible start date. We can't wait to get to know you. Apply now! Please kindly include in any and all job postings we publish for Limango Polska Sp. z o.o. the following information, in the language of the job posting. At Limango Polska Sp. z o.o. the remuneration regulation have been adopted, providing for the possibility of obtaining an additional jubilee award and use (under certain conditions) of certain benefits (a sport card, medical insurance, life insurance). The remuneration is paid in arrears, on the last day of the calendar month.  Any other part of the employee's remuneration is determined by the employment contract.

🏢 Summary: IT Product Manager role supporting Life and Health (Biometric and Pricing) applications, responsible for product roadmap, backlog, and alignment with business strategy. The position combines product ownership, IT service management, and project leadership, including change, incident, and release management. It also covers financial oversight, compliance, and coordination with AMS and architecture teams in a complex enterprise environment. 🗂️ Requirements: University degree in Computer Science, Business Administration or similar, Fluency in Business English, Experience in Product Management and Project Management, Experience managing Pricing or Biometric applications in reinsurance, Hands-on experience with ServiceNow, SQL, cloud computing and Azure DevOps, Knowledge of ITIL processes, Experience with change, incident and release management, Knowledge of software development and product lifecycle, Ability to manage product enhancements or development projects 📃 Skills: ServiceNow, SQL, Azure, DevOps, ITIL, Scrum, CMDB, IAM, Cloud, Reinsurance 🏢 Description: About Us ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, is delivering integrated IT and business services to international markets. Our expertise lies in providing advanced IT services, with a focus on modern, business-driven technology solutions. On the business side, we also support the Group in various end-to-end insurance processes, including finance, operations, and underwriting. With offices in Warsaw and Gdansk, and strong global partnerships, we foster a dynamic, multicultural environment that promotes diversity and international opportunities. How you will get the job done leading IT product management in supporting Life and Health business units, with a focus on Biometric and Pricing businesses collaborating closely with Business Product Owners to manage the product backlog, developing the product roadmap, and ensuring alignment with business strategies managing the relationship and working closely with the Application Management Services (AMS) team to provide product operations and support taking responsibility for change, incident, and release management following IT service standards ensuring all security, risk, and compliance tasks are completed on time managing projects as required and leading small enhancement projects with the product team making sure that records are kept up to date in accordance with internal systems and processes such as CMDB, Enterprise Architecture Management, Identity Access Management, and others taking responsibility for the fiscal management of the product portfolio, including costs, budgets, and resource allocations coordinating product and project activities in accordance with internal and external partners supporting audits and maintaining thorough documentation for smooth operations Skills and experience you will need fluency in Business English a university degree, preferably in Computer Science, Business Administration, or a similar qualification good understanding of reinsurance, preferably with experience managing Pricing and Biometric applications hands-on experience working with ServiceNow, SQL, cloud computing, and Azure DevOps demonstrated knowledge and experience with Product and Project Management, including financial and stakeholder management experience with ITIL processes to collaborate with infrastructure, operations, solution, and technical architecture ability to run product enhancements or development projects familiarity with analytical and concept work regarding complex application operation landscapes and architectures assertiveness, self-organized, and proactive attitude target-orientation and willingness to learn distinct planning, organizational, and negotiation skills, as well as good mediator skills knowledge of the entire software development, product, and project life cycles acquired in various positions (project management, requirements engineering, consulting, etc.) Nice to have German language proficiency business analysis skills familiarity with Scrum methodology Perks & Benefits Let's be healthy Medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape. Let's be balanced Work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy. Let's be smart We organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses. Let's be responsible Each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future. Let's be fun Company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered! Let's be diverse Every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!

🏢 Summary: Join the product team responsible for Allegro’s main listing and search page, building high-scale, data-driven solutions used by millions of users. The role focuses on developing and optimizing features in a microservices ecosystem, running large-scale A/B tests, and processing massive real-time data streams. You will deploy production features that handle billions of requests while leveraging modern DevOps and AI-supported development tools. 🗂️ Requirements: Commercial experience in backend or full-stack software development, Ability to design and implement scalable systems handling high traffic, Experience with microservices architecture, Experience with A/B testing and data-driven development, Knowledge of containerization and orchestration tools, Experience with version control and CI/CD pipelines, Ability to work in a hybrid model (Toruń-based team) 📃 Skills: Kubernetes, Docker, Consul, GitHub, GitHubActions, Microservices, ServiceMesh, Hermes, MachineLearning, AI 🏢 Description: About the job: A listing is not just an ordinary product list - it's a command center and a crucial stage of the shopping journey. This is where, in a fraction of a second, we have to connect and serve the essence of Allegro to the user. You will be right in the middle of the company's business and technological innovations, directly impacting how we present what matters most to buyers: from Allegro Smart! badges, through price presentation and coins, all the way to express delivery times. Your Impact and Growth: From the very beginning, you become a fully-fledged member of the product team with a real impact on how the main search page evolves. You deploy features to production, see their immediate effects, and learn how to optimize a product based on the behavior of millions of real people, rather than textbook theories. You enter a true technological proving ground - you create solutions that handle billions of requests and process gigantic data volumes in real-time. Our Data-Driven Culture: In the listing team, we base every change on hard data, not guesswork or intuition. Here, you will learn experiment-driven programming. You will learn how to design, implement, and analyze A/B tests on a massive sample of users. You will see with your own eyes how a minor optimization in your code translates into real customer behaviors and the business metrics of the entire company. Important things for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost): PLN 11 200 - 15 250 Annual bonus based on your annual performance and company results. Our team is based in Toruń. What we offer: - Flexible working hours in the hybrid model (4/1) - our hours can start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. - Annual bonus based on your annual performance and company results. - Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). - A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. - A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). - English classes that we pay for related to the specific nature of your job. - A training budget, inter-team tourism ( more here ), hackathons, and an internal learning platform where you will find multiple trainings. - An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. - Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: - You will join a team you can count on - we work with top-class specialists who have sharing knowledge and experience in their DNA. - You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. - You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. - You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). - You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. - You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. - You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: The offer is for a Power BI expert responsible for governing Power BI Premium and Microsoft Fabric environments, designing scalable data models, and optimizing performance in enterprise analytics solutions. The role focuses on advanced data modeling, embedded analytics, security architecture, and integration with Azure Databricks. You will work in an Agile team delivering robust, secure, and high-performance BI solutions for international business operations. 🗂️ Requirements: Fluent English (spoken and written), Strong knowledge of Power BI Premium, Strong knowledge of DAX, Experience with Azure Databricks, Experience in dimensional modeling, Experience with Power BI Embedded, Experience with Microsoft Fabric, Experience with XMLA Endpoint operations, Experience with Azure DevOps, Experience with Tabular Editor (v2/v3), Experience with DAX Studio, Experience with ALM Toolkit, Experience working in Scrum/Agile teams 📃 Skills: PowerBI, DAX, Azure, Databricks, Fabric, XMLA, DevOps, TabularEditor, DAXStudio, ALMToolkit, SQL, DeltaLake 🏢 Description: About Us ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, is delivering integrated IT and business services to international markets. Our expertise lies in providing advanced IT services, with a focus on modern, business-driven technology solutions. On the business side, we also support the Group in various end-to-end insurance processes, including finance, operations, and underwriting. With offices in Warsaw and Gdansk, and strong global partnerships, we foster a dynamic, multicultural environment that promotes diversity and international opportunities. How you will get the job done governing Power BI Premium/Microsoft Fabric capacity, managing workload, managing On-Premises Gateway and performance tuning designing robust Calculation Groups to enable scalable, reusable analytics logic creating dimensional models, surrogating key strategies, and modern ETL/ELT processes, supporting reliable upstream data pipelines optimizing Power BI performance, covering model design, Direct Query/composite model tuning, analyzing query performance, and optimizing large-scale report propagating filter, embedding APIs, security context handling, and securing or restricting Edit Mode capabilities in embedded scenarios with Power BI embedded enforcing modeling best practices, automating refactoring, validating dependencies, and optimizing complex semantic models communicating with business super users and domain experts optimizing Direct Query/Delta Lake interactions, coordinating schema evolution with data engineering teams, and ensuring reliable end-to-end data flows between Databricks and Power BI architecture designing and implementing complex role-based security concepts, including row level security (RLS), object level security (OLS), user cultures, embedded specific identity mapping, and enterprise grade authorization models designing robust Calculation Groups to enable scalable, reusable analytics logic Skills and experience you will need fluent spoken and written English technical knowledge of Power BI Premium, DAX, Azure Databricks, Dimensional Modeling experience in Power BI embedded & Microsoft Fabric and XMLA Endpoint operations practical experience in working with Azure DevOps, Tabular Editor (v2/v3), DAX Studio, ALM Toolkit being an active member of Scrum and Agile, cross-functional team developing software for innovative business products Perks & Benefits Let's be healthy Medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape. Let's be balanced Work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy. Let's be smart We organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses. Let's be responsible Each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future. Let's be fun Company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered! Let's be diverse Every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!

🏢 Summary: Engineering role focused on designing, building, and optimizing AI-driven microservices that power a conversational marketplace assistant. The position involves LLM orchestration, Retrieval-Augmented Generation, semantic search, and high-performance retrieval in a cloud-native environment. You will own end-to-end development of AI services across Java/Kotlin and Python ecosystems, ensuring scalability, low latency, and high availability. 🗂️ Requirements: Proficiency in Python, Proficiency in Java, Proficiency in Kotlin, Experience with LLM orchestration, Experience with Retrieval-Augmented Generation (RAG), Experience with semantic search and vector search, Experience building microservices, Experience with cloud-native architectures, Ability to design and optimize high-availability systems, English level B2 or higher 📃 Skills: Python, Java, Kotlin, Spring, ADK, LangChain, Langfuse, LLM, RAG, LoRA, PEFT, AutoGen, CrewAI, Kubernetes, Docker, Consul, GitHub, GitHubActions, VectorSearch, Embeddings 🏢 Description: About the job: Performance & Scale: Design, build, and optimize AI-driven systems that process complex natural language interactions. Delivering low-latency, high-quality responses from our AI Assistant requires high-availability and smart optimization of LLM and retrieval workloads in practice. Modern Tech Stack: Work with a world-class, cloud-native polyglot environment. Our core backend technologies include Java , Kotlin , Spring, and ADK . At the same time, our AI and orchestration layer heavily relies on Python . You will utilize Python and LangChain for complex LLM orchestration, alongside Langfuse for observability, prompt tracking, and evaluation. We leverage advanced vector search and modern ML solutions to make our assistant truly smart. True Ownership & Autonomy: We live by a "you build it, you run it" philosophy. You'll join an agile, autonomous team with full ownership of your AI microservices and data pipelines, from design to deployment; and improvements are dictated by results of our own experiments and AI evaluation metrics. Complex Challenges: From LLM orchestration and Retrieval-Augmented Generation (RAG) to semantic search optimization, you'll tackle the complex backend problems that power a conversational marketplace assistant. You will work across the Java/Kotlin and Python ecosystems, integrating advanced embedding models, prompt pipelines, and vector databases to ensure our AI deeply understands and accurately retrieves information. In our domain, we focus on delivering the core search and retrieval capabilities for the Allegro AI Assistant. We maintain a critical entry point for users looking to discover products, compare offers, and get personalized recommendations through natural conversations. Striving for relevancy and accuracy first, we are designing, implementing, and operating an extensive system combining modern microservice architecture with Large Language Models, high-performance retrievers, and vast data sources. We care about data quality, robust context building, and near real-time accuracy to best guide users through a highly dynamic marketplace via an intelligent, conversational interface. Important things for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost): PLN 14 200 - 20 200 Annual bonus based on your annual performance and company results. Our team is based in Poznań. We are looking for people who: Code in Python, Java and Kotlin ; Expect work that requires creative approach to search experience challenges, to be proud of enjoying its results together with all Allegro users; Want to create solid code, eagerly accept comments and share knowledge during code reviews; Can look for effective solutions to the requirements set by users; Want to constantly develop and update their knowledge; Know English at at least B2 level. Nice to have: You are open to diverse technologies and workflows, including dev-operational tools on one hand, and working with data on the other. Basic experience with LLM tuning (LoRA, PEFT), training and evaluation pipelines for models and/or basic frameworks for building AI Agents (Agent Development Kit, LangChain, AutoGen, CrewAI) would be great! What's in it for you: Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: Senior Research Engineer role focused on designing, evaluating, and deploying production-grade machine learning models for search, ranking, and ads at scale. The position combines applied ML research with end-to-end ownership of solutions, from data exploration to production deployment. It involves translating state-of-the-art research into business impact while mentoring others and collaborating on large-scale systems. 🗂️ Requirements: Master’s or PhD in Machine Learning, Computer Science, Mathematics, Statistics or related STEM field, Strong knowledge of deep learning techniques, Experience in at least one domain: Information Retrieval or Natural Language Processing, Ability to conduct scientific research and iterative experimentation, Experience working with complex, real-world datasets, Proficiency in Python for ML development, Experience with ML frameworks such as PyTorch or TensorFlow 📃 Skills: Python, PyTorch, TensorFlow, Transformers, Pandas, NumPy, DeepLearning, NeuralNetworks, ContrastiveLearning, SemiSupervisedLearning, InformationRetrieval, NLP, Kubernetes, Docker, GitHub, GitHubActions, GCP, AWS, Azure, LLMs 🏢 Description: In the Learning to Rank team we develop machine learning models for search, ranking and ads. Our models serve millions of searches a day. We develop and apply state-of-the-art machine learning methods, helping Allegro grow and innovate with artificial intelligence. Beyond bringing AI to production, we are committed to advance the understanding of machine learning through open collaboration with the scientific community. About the role: As a Senior Research Engineer, you will work at the intersection of cutting-edge machine learning research and real-world products used at scale. You’ll take ownership of ML solutions end to end - from exploring complex data and selecting the right methods, to rigorous evaluation and production deployment. This role is for someone who enjoys navigating uncertainty, keeping pace with a fast-moving ML landscape, and turning research insights into tangible business impact, while also shaping ML expertise within the team and beyond. In your daily work you will handle the following tasks End-to-end ML ownership: Design and deliver production-ready machine learning solutions for Allegro products Data exploration: Analyze and understand complex data sets, identifying relevant data sources for ML use cases Model development & evaluation: Train, evaluate, and experiment with applied ML models using reliable evaluation methods Applied ML research: Translate state-of-the-art ML research into practical improvements for real-world solutions Tooling & methodology: Select ML tools and techniques that best fit concrete business needs Production collaboration: Work closely with cross-functional teams to deploy ML solutions into production Knowledge sharing: Spread ML expertise through internal sessions, presentations, and research activities Mentorship & expertise: Support junior team members and act as a trusted ML expert within the organization We are looking for people who Have a master's or PhD in machine learning, mathematics, computer science, statistics or other STEM fields Have a good knowledge of deep learning techniques (neural networks, contrastive learning, semi-supervised learning) in at least one domain (information retrieval, natural language generation or understanding, etc.) Know the methodology of conducting scientific research and the use of iterative processes of conducting experiments Have experience in working with real data that deviate from the standard, well-developed collections used in research Know Python and libraries necessary to work with model development (PyTorch, Tensorflow, Transformers, Pandas, Numpy, etc.) Nice-to-have: Understanding of Information Retrieval (IR) area Published research papers in ML-related topics Experience in business cooperation, deployments of ML-based solutions in commercial environments Prior experience in running large-scale computation on cloud platform (GCP, AWS or Azure) Prior experience in using LLMs for synthetic data generation/solving business problems What's in it for you Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units). Annual bonus based on your annual performance and company results. Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: Senior Research Engineer role focused on designing, developing, and deploying production-ready machine learning models for search, ranking, and ads at scale. The position involves end-to-end ML ownership, from data exploration and experimentation to evaluation and production deployment, while translating state-of-the-art research into business impact. The role combines applied ML research with large-scale production collaboration. 🗂️ Requirements: Master’s or PhD in Machine Learning, Mathematics, Computer Science, Statistics, or related STEM field, Strong knowledge of deep learning techniques, Experience in at least one domain: Information Retrieval or Natural Language Processing, Ability to design and conduct scientific experiments using iterative methodologies, Experience working with complex, real-world datasets, Proficiency in Python, Experience with ML model development libraries (PyTorch or TensorFlow) 📃 Skills: Python, PyTorch, TensorFlow, Transformers, Pandas, NumPy, DeepLearning, NeuralNetworks, ContrastiveLearning, SemiSupervisedLearning, InformationRetrieval, NLP, LLMs, GCP, AWS, Azure, Kubernetes, Docker, Consul, GitHub, GitHubActions 🏢 Description: In the Learning to Rank team we develop machine learning models for search, ranking and ads. Our models serve millions of searches a day. We develop and apply state-of-the-art machine learning methods, helping Allegro grow and innovate with artificial intelligence. Beyond bringing AI to production, we are committed to advance the understanding of machine learning through open collaboration with the scientific community. About the role: As a Senior Research Engineer, you will work at the intersection of cutting-edge machine learning research and real-world products used at scale. You’ll take ownership of ML solutions end to end - from exploring complex data and selecting the right methods, to rigorous evaluation and production deployment. This role is for someone who enjoys navigating uncertainty, keeping pace with a fast-moving ML landscape, and turning research insights into tangible business impact, while also shaping ML expertise within the team and beyond. In your daily work you will handle the following tasks End-to-end ML ownership: Design and deliver production-ready machine learning solutions for Allegro products Data exploration: Analyze and understand complex data sets, identifying relevant data sources for ML use cases Model development & evaluation: Train, evaluate, and experiment with applied ML models using reliable evaluation methods Applied ML research: Translate state-of-the-art ML research into practical improvements for real-world solutions Tooling & methodology: Select ML tools and techniques that best fit concrete business needs Production collaboration: Work closely with cross-functional teams to deploy ML solutions into production Knowledge sharing: Spread ML expertise through internal sessions, presentations, and research activities Mentorship & expertise: Support junior team members and act as a trusted ML expert within the organization We are looking for people who Have a master's or PhD in machine learning, mathematics, computer science, statistics or other STEM fields Have a good knowledge of deep learning techniques (neural networks, contrastive learning, semi-supervised learning) in at least one domain (information retrieval, natural language generation or understanding, etc.) Know the methodology of conducting scientific research and the use of iterative processes of conducting experiments Have experience in working with real data that deviate from the standard, well-developed collections used in research Know Python and libraries necessary to work with model development (PyTorch, Tensorflow, Transformers, Pandas, Numpy, etc.) Nice-to-have: Understanding of Information Retrieval (IR) area Published research papers in ML-related topics Experience in business cooperation, deployments of ML-based solutions in commercial environments Prior experience in running large-scale computation on cloud platform (GCP, AWS or Azure) Prior experience in using LLMs for synthetic data generation/solving business problems What's in it for you Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units). Annual bonus based on your annual performance and company results. Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: The role focuses on designing, building, and optimizing AI-driven backend systems that power a large-scale conversational assistant with low-latency, high-availability requirements. You will work across Java/Kotlin and Python ecosystems to implement LLM orchestration, RAG pipelines, and semantic search solutions within a cloud-native microservices architecture. The position involves full ownership of AI microservices and data pipelines from design to deployment in a production-scale environment. 🗂️ Requirements: Proficiency in Python, Proficiency in Java, Proficiency in Kotlin, Experience with LLM orchestration and RAG, Experience with microservices architecture, Experience with vector search and semantic search, Experience with cloud-native environments, Ability to design and optimize high-availability, low-latency systems, English level B2 or higher 📃 Skills: Python, Java, Kotlin, Spring, ADK, LangChain, Langfuse, LLM, RAG, Kubernetes, Docker, Consul, GitHub, GitHubActions, VectorSearch, Microservices 🏢 Description: About the job: Performance & Scale: Design, build, and optimize AI-driven systems that process complex natural language interactions. Delivering low-latency, high-quality responses from our AI Assistant requires high-availability and smart optimization of LLM and retrieval workloads in practice. Modern Tech Stack: Work with a world-class, cloud-native polyglot environment. Our core backend technologies include Java , Kotlin , Spring, and ADK . At the same time, our AI and orchestration layer heavily relies on Python . You will utilize Python and LangChain for complex LLM orchestration, alongside Langfuse for observability, prompt tracking, and evaluation. We leverage advanced vector search and modern ML solutions to make our assistant truly smart. True Ownership & Autonomy: We live by a "you build it, you run it" philosophy. You'll join an agile, autonomous team with full ownership of your AI microservices and data pipelines, from design to deployment; and improvements are dictated by results of our own experiments and AI evaluation metrics. Complex Challenges: From LLM orchestration and Retrieval-Augmented Generation (RAG) to semantic search optimization, you'll tackle the complex backend problems that power a conversational marketplace assistant. You will work across the Java/Kotlin and Python ecosystems, integrating advanced embedding models, prompt pipelines, and vector databases to ensure our AI deeply understands and accurately retrieves information. In our domain, we focus on delivering the core search and retrieval capabilities for the Allegro AI Assistant. We maintain a critical entry point for users looking to discover products, compare offers, and get personalized recommendations through natural conversations. Striving for relevancy and accuracy first, we are designing, implementing, and operating an extensive system combining modern microservice architecture with Large Language Models, high-performance retrievers, and vast data sources. We care about data quality, robust context building, and near real-time accuracy to best guide users through a highly dynamic marketplace via an intelligent, conversational interface. Important things for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost): PLN 14 600 - 20 825 Annual bonus based on your annual performance and company results. Our team is based in Poznań. We are looking for people who: Code in Python, Java and Kotlin ; Expect work that requires creative approach to search experience challenges, to be proud of enjoying its results together with all Allegro users; Want to create solid code, eagerly accept comments and share knowledge during code reviews; Can look for effective solutions to the requirements set by users; Want to constantly develop and update their knowledge; Know English at at least B2 level. Nice to have: You are open to diverse technologies and workflows, including dev-operational tools on one hand, and working with data on the other. Basic experience with LLM tuning (LoRA, PEFT), training and evaluation pipelines for models and/or basic frameworks for building AI Agents (Agent Development Kit, LangChain, AutoGen, CrewAI) would be great! What's in it for you: Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: Backend Engineer role focused on building and operating high-availability, high-performance microservices in a large-scale, real-time marketplace. The position involves designing distributed systems, data streaming solutions, and AI-driven content quality pipelines using a modern cloud-native stack. You will own services end-to-end in an autonomous team following a "you build it, you run it" approach. 🗂️ Requirements: Proficiency in Kotlin or Java, Experience building high-availability, high-performance backend systems, Experience with distributed systems and microservices architecture, Experience with data streaming systems, Experience working in cloud-native environments, Ability to design, deploy, and operate services in production, Experience with AI/ML-driven pipelines, English B2 level minimum, Polish B2 level minimum 📃 Skills: Kotlin, Java, Spring, Kafka, Kubernetes, Docker, Consul, GitHub, GitHubActions, Microservices, DistributedSystems, DataStreaming, MachineLearning, LLM, A/BTesting, ServiceMesh, Cloud, Hermes 🏢 Description: About the job: Massive Scale : Design, build, and optimize systems that handle thousands of requests per minute. This is high-availability, high-performance engineering in practice. Modern Tech Stack : Work with a world-class, cloud-native environment. Our core technologies include Kotlin, Spring, Kafka, and Kubernetes. We're not shy when it comes to ML too :) True Ownership & Autonomy : We live by a "you build it, you run it" philosophy. You'll join an agile, autonomous team with full ownership of your microservices, from design to deployment. Complex Challenges : From distributed systems and data streaming to algorithmic optimization, you'll tackle the complex backend problems that power a massive, real-time marketplace. Our team owns the quality of product content in Allegro's product catalog — names, descriptions, and the processes that keep them correct at scale. We build AI-driven pipelines (including LLM-based evaluation and generation) that automatically maintain content quality, and we run A/B experiments to prove when catalog data is ready to replace merchant-provided content on the buyer path. We work in a cross-functional setup with backend engineers, a product manager, and close collaboration with data analysts and quality specialists. Important things for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost): PLN 11 200 - 15 250 Annual bonus based on your annual performance and company results. Our team is based in Toruń. We are looking for people who: Code in Kotlin or Java ; Expect work that has a deeper meaning (not only tasks "management has commissioned") and want to enjoy its results; Want to be proud of the code they create. They eagerly accept comments and share knowledge during code reviews; Can look for effective solutions to the requirements set by users; Want to constantly develop and update their knowledge; Are proactive and positive — you'll join people who actually like collaborating; Know English and Polish at at least B2 level. What's in it for you: Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!