Traffic InApps Technical Support Specialist

🏢 Summary: Technical role focused on supporting and troubleshooting global mobile app and mobile game retargeting campaigns within a Deep Learning-powered AdTech platform. The position involves end-to-end investigation of in-app tracking, attribution, and integration issues, working closely with internal teams and external partners. The role also includes onboarding integrations, improving tracking processes, and acting as an expert in in-app measurement and MMP integrations. 🗂️ Requirements: Experience with in-app or web campaigns, Experience in AdTech or digital marketing, Fluent English, Ability to analyze data in Excel or similar tools, Basic SQL knowledge, Basic JavaScript or scripting knowledge, Ability to investigate attribution and tracking issues, Experience with technical integrations and third-party systems 📃 Skills: SQL, JavaScript, Excel, Appsflyer, Adjust, Branch, GoogleAnalytics, Firebase, MMP, AdTech, Attribution, Tracking, Postbacks, DSP 🏢 Description: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Our team in Poland consists of 5 people and is an integral part of our company’s global presence. We combine local expertise with our broader company vision. We are responsible for handling current technical issues in mobile apps/mobile games campaigns, run all over the globe. You Will: Handle technical tickets related to mobile app and mobile game retargeting campaigns run globally; Perform end-to-end technical investigations of in-app campaigns across RTB House systems, MMPs, and third-party integrations; Analyze and resolve complex attribution, tracking, redirection, and data consistency issues, including discrepancies between internal and external reports; Conduct root cause analysis using raw data (Excel, SQL, internal tools) and propose effective, long-term solutions; Review, validate, and support JavaScript-based tagging and postback mapping solutions; Collaborate closely with Technical Account Managers, Business Teams, and internal technical departments to diagnose and resolve issues; Participate in onboarding new advertisers and integrations from a technical perspective; Contribute to improving internal tools, monitoring, and processes related to in-app tracking and measurement; Act as a subject-matter expert for in-app attribution, tagging, and MMP integrations; Create and maintain clear technical documentation, tutorials, and best practices for internal teams. Desired Experience: Experience with in-app/web campaigns and/or experience in AdTech, digital marketing etc., Fluent English - the technical issues are discussed in this language on a daily basis; Ability to work with data and analyze data in Excel/different tools; Basic SQL knowledge; Basic JavaScript (or other scripting language) knowledge; Analytical approach to problem solving; Good communication skills, especially in terms of creating brief and precise descriptions of issues while being in touch with other departments; Good self-organizing skills. Nice to have: Knowledge what MMP platform stands for and how to use one (e.g. Appsflyer, Adjust, Branch); Experience with tracking systems/solutions (Google Analytics, MMP. Firebase, internal business intelligence system); Interest in new technologies, online advertising or e-commerce. We Offer: A flexible cooperation model — remote or hybrid — tailored to your preferences. Competitive salary and opportunities for growth. Form of cooperation: contract of mandate or B2B contract. Collaboration with an award-winning organization that shapes the future of online marketing globally and is, on top, one of the fastest-growing tech companies in Europe, Deloitte - Fast 50 CE and Financial Times 1000: Europe’s Fastest-Growing Companies. Opportunity to provide services in a truly international environment with the best people in one of the fastest-growing segments of online advertising with a proven history of customer satisfaction with our AI-powered retargeting technology. Opportunity to collaborate at the forefront of the ad-tech industry, shaping the future of digital advertising through data-driven insights.

🏢 Summary: Development role focused on building and optimizing large-scale ML training and bidding infrastructure for a Deep Learning-powered advertising platform. The position involves designing complex IT systems, improving performance-critical components, and ensuring scalability and reliability in production environments. You will work with Big Data and distributed systems technologies to support high-volume, real-time ad processing. 🗂️ Requirements: Expertise in designing and implementing complex IT systems, Proficiency in at least one of: Python, C++, Java, Scala, Strong Linux expertise, Strong knowledge of algorithms and data structures, Experience in performance evaluation and optimization, Ability to develop scalable and reliable systems, Experience with distributed systems, Hands-on experience with Big Data technologies, Experience with cloud platforms such as GCP 📃 Skills: Python, C++, Java, Scala, Linux, Algorithms, DataStructures, DistributedSystems, Hadoop, Kafka, Storm, Spark, Flink, GCP, GPU, Torch, PyTorch, TensorFlow 🏢 Description: Location: Poland We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Desired Experience: Expertise in designing and implementing complex IT systems. Ability to develop user-friendly, versatile tools. Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux. Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting. Deep understanding of algorithms and data structures. Initiative and creativity to improve existing solutions. Ability to work effectively both within and across teams. Additional Advantages: Previous experience in the field of Machine Learning is not required, but would be an asset. Solid foundation in mathematics. Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow. Proven experience with distributed systems. Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink. Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers. We Offer: A highly competitive salary. The opportunity to work with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills. Flexible working hours, with the possibility of remote work or working from our office in Warsaw. Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project. An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model. The ability to see the immediate impact of your work on the company's business outcomes. The possibility of publishing your results. Daily Responsibilities: Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment. Identifying performance bottlenecks and optimizing critical, low-level parts of the system. Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components. Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment. Apply now! You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

🏢 Summary: Development and optimization of a large-scale ML training platform and bidding infrastructure for a Deep Learning-powered AdTech system. The role focuses on building efficient, scalable IT systems, optimizing low-level performance, and evaluating Big Data and ML technologies for production use. You will work on high-impact solutions operating at massive scale in a production environment. 🗂️ Requirements: Experience designing and implementing complex IT systems, Proficiency in Python or C++ or Java or Scala, Strong Linux knowledge, Ability to optimize system performance and troubleshoot production issues, Deep understanding of algorithms, Strong knowledge of data structures, Experience with distributed systems, Experience with Big Data technologies, Ability to ensure scalability and reliability of systems, Experience creating performance and correctness tests 📃 Skills: Python, C++, Java, Scala, Linux, Algorithms, DataStructures, DistributedSystems, BigData, Hadoop, Kafka, Storm, Spark, Flink, GCP, GPU, Torch, PyTorch, TensorFlow, ML 🏢 Description: Location: Poland We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Desired Experience: Expertise in designing and implementing complex IT systems. Ability to develop user-friendly, versatile tools. Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux. Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting. Deep understanding of algorithms and data structures. Initiative and creativity to improve existing solutions. Ability to work effectively both within and across teams. Additional Advantages: Previous experience in the field of Machine Learning is not required, but would be an asset. Solid foundation in mathematics. Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow. Proven experience with distributed systems. Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink. Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers. We Offer: A highly competitive salary. The opportunity to work with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills. Flexible working hours, with the possibility of remote work or working from our office in Warsaw. Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project. An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model. The ability to see the immediate impact of your work on the company's business outcomes. The possibility of publishing your results. Daily Responsibilities: Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment. Identifying performance bottlenecks and optimizing critical, low-level parts of the system. Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components. Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment. Apply now! You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

🏢 Summary: Technical role focused on developing and optimizing large-scale ML training platforms and bidding infrastructure for real-time ad systems. The position involves building complex IT systems, improving performance at low-level components, and ensuring scalability and reliability in production environments. It offers the opportunity to work with Big Data and distributed systems at massive scale. 🗂️ Requirements: Expertise in designing and implementing complex IT systems, Ability to develop user-friendly and versatile tools, Proficiency in at least one programming language: Python, C++, Java, or Scala, Strong Linux expertise, Strong knowledge of algorithms and data structures, Experience in evaluating and optimizing system performance, Ability to ensure scalability and reliability of systems, Experience creating performance and correctness tests 📃 Skills: Python, C++, Java, Scala, Linux, Algorithms, DataStructures, MachineLearning, Torch, PyTorch, TensorFlow, GPU, DistributedSystems, Hadoop, Kafka, Storm, Spark, Flink, GCP 🏢 Description: Location: Poland We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Desired Experience: Expertise in designing and implementing complex IT systems. Ability to develop user-friendly, versatile tools. Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux. Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting. Deep understanding of algorithms and data structures. Initiative and creativity to improve existing solutions. Ability to work effectively both within and across teams. Additional Advantages: Previous experience in the field of Machine Learning is not required, but would be an asset. Solid foundation in mathematics. Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow. Proven experience with distributed systems. Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink. Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers. We Offer: A highly competitive salary. The opportunity to work with a team of enthusiasts experienced in Machine Learning, Big Data, and distributed systems, who are eager to share their knowledge and skills. Flexible working hours, with the possibility of remote work or working from our office in Warsaw. Access to the latest technologies, with the opportunity to apply them in a large-scale and fast-paced project. An opportunity to apply your expertise in optimizing algorithms that support hundreds of millions of internet users and billions of ad views per month within the RTB model. The ability to see the immediate impact of your work on the company's business outcomes. The possibility of publishing your results. Daily Responsibilities: Developing and maintaining the ML training platform and the bidding infrastructure that evaluates ML models in the production environment. Identifying performance bottlenecks and optimizing critical, low-level parts of the system. Ensuring the reliability and scalability of implementations, and creating performance and correctness tests for new system components. Testing and benchmarking open-source Big Data and ML technologies to assess their suitability for the production environment. Apply now! You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

🏢 Summary: The role involves developing and advancing deep learning models for a large-scale ad-buying platform, focusing on predicting user behavior and optimizing bidding strategies. You will research state-of-the-art ML methods, run experiments and A/B tests, and implement novel architectures in production. The position centers on applying advanced machine learning to real-world, high-scale advertising data. 🗂️ Requirements: 4+ years experience in Machine Learning or Data Science, Strong knowledge of statistics and probability, Proficiency in programming, Experience designing and implementing deep neural networks, Experience conducting and analyzing A/B tests, Ability to develop and test new ML models for production use 📃 Skills: Python, Java, Scala, PyTorch, NumPy, Pandas, Jupyter, DeepLearning, MachineLearning, Statistics, Probability, A/BTesting 🏢 Description: Location : Poland We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. As an ML Researcher , you will be responsible for its development. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. You Will: Designing and implementing models, most often of deep neural networks, used to predict the behavior and preferences of Internet users Analysis of the latest works in the field of Machine Learning Conducting and analyzing A/B tests of new solutions Developing and testing new approaches to modeling key issues, such as bidding in first-price auctions Desired Experience: 4+ years of hands-on experience with Machine Learning / Data Science Interest and willingness to constantly develop in the area of ​​Machine Learning Knowledge of statistics and probability Proficiency in programming Selected technologies used: Python, Java, Scala PyTorch, NumPy, Pandas Jupyter Notebooks Additional advantages will be: Experience in the ML industry Experience in designing recommendation systems Practical knowledge of the tools we use Sample topics: Implementation and analysis of new model architectures, such as convolutional networks, transformer Analyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deployment Experiments with the use of transfer learning A completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss function We Offer: A very attractive salary Work in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills Extremely flexible cooperation conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project; Possibility of using the possessed knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buyers of billions of advertising views in the RTB model, based on extensive data sets The effects of your work immediately visible in the company's business results Possibility to publish your results Apply now! You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

🏢 Summary: ML Researcher role focused on designing, implementing, and optimizing deep learning models for large-scale advertising systems. The position involves research, experimentation, and deployment of advanced machine learning solutions to predict user behavior and improve bidding and recommendation systems. Work includes A/B testing, model analysis, and applying state-of-the-art ML techniques in production environments. 🗂️ Requirements: 4+ years of experience in Machine Learning or Data Science, Strong knowledge of statistics and probability, Proficiency in programming, Experience designing and implementing deep learning models, Ability to conduct and analyze A/B tests, Experience analyzing training and production data distributions 📃 Skills: Python, Java, Scala, PyTorch, NumPy, Pandas, Jupyter, MachineLearning, DeepLearning, Statistics, Probability, ABTesting, TransferLearning, Transformers, CNN 🏢 Description: Location : Poland We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. As an ML Researcher , you will be responsible for its development. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. You Will: Designing and implementing models, most often of deep neural networks, used to predict the behavior and preferences of Internet users Analysis of the latest works in the field of Machine Learning Conducting and analyzing A/B tests of new solutions Developing and testing new approaches to modeling key issues, such as bidding in first-price auctions Desired Experience: 4+ years of hands-on experience with Machine Learning / Data Science Interest and willingness to constantly develop in the area of ​​Machine Learning Knowledge of statistics and probability Proficiency in programming Selected technologies used: Python, Java, Scala PyTorch, NumPy, Pandas Jupyter Notebooks Additional advantages will be: Experience in the ML industry Experience in designing recommendation systems Practical knowledge of the tools we use Sample topics: Implementation and analysis of new model architectures, such as convolutional networks, transformer Analyze the difference in the distribution of training and production data. Estimating the scale of the problem, identifying the best solution, analysis, implementation, deployment Experiments with the use of transfer learning A completely new approach to generating product recommendations that is free from proxy targets and uses contrastive loss function We Offer: A very attractive salary Work in a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills Extremely flexible cooperation conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project; Possibility of using the possessed knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buyers of billions of advertising views in the RTB model, based on extensive data sets The effects of your work immediately visible in the company's business results Possibility to publish your results Apply now! You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

🏢 Summary: Software Engineer role focused on backend and microservices development, with responsibilities spanning fullstack features and internal tools. The position involves designing and maintaining APIs, system integrations, dashboards, and data-driven solutions in a large-scale AdTech environment. The role requires strong experience in Python and JavaScript technologies within distributed systems. 🗂️ Requirements: 4+ years of professional software development experience, Strong knowledge of Python, Strong knowledge of JavaScript, Experience with Node.js, Experience with HTML, Experience with CSS, Solid understanding of SQL databases, Solid understanding of NoSQL databases, Experience with Docker or containerization, Understanding of software design patterns, Knowledge of microservices architecture, Experience building APIs and system integrations, Fluent English 📃 Skills: Python, JavaScript, Node.js, HTML, CSS, SQL, NoSQL, Docker, Microservices, APIs 🏢 Description: We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. We are looking for a Software Engineer with solid experience in backend and microservices development to join our team. This person will help design, build, and maintain web applications, microservices and internal tools, while also contributing to frontend development when needed. You Will: Design, develop, and maintain microservices, APIs, and system integrations. Contribute to frontend and backend features as part of fullstack development. Support ongoing development requests from our ticketing system and publisher integrations. Build and maintain internal dashboards, reports, and data visualizations to support business teams. Collaborate with other engineers to ensure code quality, scalability, and efficiency. Desired experience: 4+ years of professional experience in software development. Strong knowledge of Python and JavaScript/Node.js. Experience with common web technologies (HTML, CSS) and frameworks. Solid understanding of SQL and NoSQL databases. Familiarity with Docker / containerization. Awareness of software design patterns and good coding practices. Fluent in English & Polish and comfortable working in a distributed, multidisciplinary team. We offer: Competitive Compensation: We offer an attractive salary package with significant growth opportunities Cutting-edge Technology: Engage with the latest technologies on large-scale, dynamic projects Wellbeing: extremely flexible working cooperation - you work when it is convenient for you and devote as much time as you can; you can work fully remotely Purpose-Driven Work: being at the heart of the system, your growing knowledge and competencies will be used in practical applications directly connected to business results

🏢 Summary: QA Tech Lead role focused on designing and scaling the overall testing strategy for frontend and backend systems within a self-service AdTech platform. The position involves building automated testing frameworks, integrating QA processes into CI/CD and cloud environments, and leading technical standards across the quality lifecycle. It combines strategic ownership of QA architecture with hands-on automation and exploratory testing. 🗂️ Requirements: 5+ years of QA experience with automation architecture design, Experience in at least 2 different organizations, Proficiency in Python or TypeScript for test automation, Strong knowledge of API testing and frontend automation patterns, Experience integrating tests into CI/CD pipelines, Experience with cloud environments, Ability to use AI tools for test automation and documentation, Experience owning or organizing QA processes, Knowledge of Git, Linux basics, Strong SQL skills, English B2+, Polish B2+ 📃 Skills: Python, TypeScript, Pytest, Playwright, Cypress, FastAPI, Django, Kubernetes, GCP, Docker, PostgreSQL, AlloyDB, BigQuery, SQL, Git, Linux, GraphQL 🏢 Description: Location: Poland We Are: RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Our Product Tools team is responsible for developing and maintaining self-service platforms for managing advertising campaigns with advanced reporting and forecasting capabilities — used by both internal and external users. As a QA Tech Lead , you will play a pivotal role in designing the quality strategy and technical foundations of our testing ecosystem. If you enjoy building frameworks and setting technical standards across the full quality spectrum, this role is for you. You Will: Architect and oversee the overall testing strategy for both frontend and backend systems. Design, develop, and scale automated testing frameworks using Python or TypeScript (e.g., Pytest, Playwright, Cypress). Drive the technical evolution of our QA processes, ensuring they are integrated into the CI/CD pipeline and cloud infrastructure. Perform high-level exploratory testing of complex new features, providing feedback on system design and edge cases. Collaborate as a technical peer with developers, architects, and product stakeholders to ensure quality is built-in from the design phase. Mentor the team in best practices for testability, automation patterns, and defect management. Requirements: Must have At least 5 years of experience in QA roles, with a proven track record of designing automation architectures. Experience in at least 2 different companies/organizations, demonstrating exposure to diverse technical environments and challenges. Strong proficiency in either Python or TypeScript for test automation. Deep understanding of modern software architecture, API testing, and frontend automation patterns. Experience using AI to work smarter . Use AI tools (LLMs, agents, coding assistants) to speed up writing test scripts, generating edge-case data, and documenting created artefacts Experience in owning or organizing QA processes at a team or department level. A "Lead" mindset: willingness to balance high-level strategy with hands-on automation and exploratory testing. Technical fluency: Git, Linux basics, and solid SQL skills. Languages: English (B2+), Polish (B2+). Nice to have Experience in building/scaling QA chapters in fast-growing engineering teams. Deep knowledge of CI/CD pipelines and cloud-native environments (GCP, Docker, Kubernetes). Performance and load testing expertise. Experience with GraphQL and BigQuery. UX-oriented mindset — advocating for the end-user by asking "is this what customers will love?" rather than just "does it meet the spec?" Selected Technologies: Python Cypress FastAPI/Django TypeScript Kubernetes Google Cloud Platform PostgreSQL AlloyDB BigQuery We Offer: 100% remote — collaboration from anywhere in Poland or from our offices in Warsaw or Kraków Flexible collaboration model — we trust you to manage your time Shape the QA process — with a small QA team, you'll have a direct impact on how testing is done Influence the product — we cooperate closely with users, developers, and UX designers; your voice matters in the final shape of what we ship Freedom in tooling — we're open to adopting better tools and technologies when there's a good case for it Stable tech company — RTB House is an AI/ML-driven product company with a long-term perspective Collaboration with flexible contract options (B2B or contract of mandate) Apply now! You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

🏢 Summary: Senior Frontend Engineer role focused on designing and leading high-performance ad display solutions within a large-scale real-time bidding platform processing millions of requests per second. The position combines hands-on development in JavaScript/TypeScript with technical leadership in complex, cross-team projects. Work centers on performance optimization, scalability, and production system monitoring in a global AdTech environment. 🗂️ Requirements: 8+ years of experience developing complex web software, Proficiency in JavaScript and TypeScript, Strong knowledge of browser APIs, Experience with build tools such as Webpack or Vite, Practical experience with web performance optimization and advanced loading strategies, Very good knowledge of DNS, HTTP, cookies and related Internet technologies, Ability to monitor, analyze and troubleshoot production systems, Understanding of system architectures and backend API integration, Experience with CI/CD pipelines 📃 Skills: JavaScript, TypeScript, BrowserAPIs, Webpack, Vite, OpenRTB, MRAID, VAST, DNS, HTTP, Cookies, CI/CD, Monitoring, RUM, APIs, Caching 🏢 Description: We are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. We are looking for engineers to join our Bidding Platform organization which is the core of the RTB business, processing over 20 million requests per second to participate in real-time auctions and display advertisements to customers from 90+ countries. If you want to work on technically complex and demanding solutions, this is the opportunity for you! Our Senior Engineers are experts who combine deep technical expertise with a strong sense of ownership, and they take on Tech Lead roles in complex, cross-team projects. You will: Gain deep understanding our ad technology and become familiar with ad industry standards: OpenRTB, MRAID, VAST etc. Design and lead implementation of high-quality frontend solutions for displaying Ads globally, focusing on performance and scalability. Write, test, and deploy robust, efficient, and well-documented code in JavaScript/TypeScript, ensuring adherence to the highest coding standards. Develop monitoring systems to track crucial metrics like reliability or viewability and use data to diagnose and resolve performance bottlenecks. Collaborate closely with Ads Layouts specialists and backend engineers to ensure smooth data flow and optimal architectural alignment for performance-critical features. Provide hands-on technical leadership: solving complex system challenges, participating in planning and scoping of projects, and ensuring the implementation of the highest coding standards through participation in code reviews. Requirements: 8+ years of hands-on experience in developing complex web software Proficiency in JavaScript/TypeScript and browser APIs. Experience with relevant build tooling (e.g., Webpack, Vite). Practical experience and strong understanding of Web Performance optimization techniques and advanced loading strategies (caching, asset delivery). Very good knowledge of fundamental Internet protocols and technologies (DNS, HTTP, cookies and others). Practical ability to observe, monitor and analyse the operation of production systems (and draw valuable conclusions from it). Good understanding of full-stack concepts, including system architectures, working with backend APIs and deployment/CI/CD pipelines. C1 level in English and Polish. Nice to have: Experience in the AdTech/Real Time Bidding space. Experience contributing to Real User Monitoring (RUM) systems. We Offer: Projects focused on extreme performance and high code quality – clean code and solid code reviews are our standard. Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers). Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects. Cooperation based on B2B contract. You can cooperate 100 % remotely or choose one of our office spaces in Warsaw or Cracow.

🏢 Summary: Senior Technical Researcher/Engineer role focused on researching, prototyping, and evaluating cutting-edge AdTech technologies for large-scale systems. The position combines deep technical research, programming, and experimentation to assess feasibility and integrate new solutions, including privacy mechanisms and mobile optimizations. You will build PoCs and collaborate cross-functionally to enhance performance, compliance, and ML-driven capabilities. 🗂️ Requirements: 5+ years experience as researcher or engineer, Strong programming skills, Ability to understand large-scale systems and architectures, Experience building Proof of Concepts, Ability to evaluate and integrate new technologies, Experience with privacy mechanisms and browser technologies, Experience with mobile platforms Android and iOS, Collaboration with cross-functional technical teams 📃 Skills: Python, Java, Scala, TypeScript, JavaScript, PyTorch, NumPy, Pandas, Jupyter, BigQuery, GCP, DeepLearning, MachineLearning, Android, iOS, GitHub 🏢 Description: Location: Poland We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. You Will: As a Senior Technical Researcher/Engineer within the AdTech Technical Research Team , you'll play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. You'll be responsible for conducting in-depth research, experimenting with new technologies, and collaborating with cross-functional teams to assess their potential for integration into our systems. Your role will involve a blend of programming, research, and analytical skills to evaluate the effectiveness and feasibility of various ad tech solutions. Desired Experience: 5+ years of experience as researcher or engineer. Strong technical proficiency: programming skills and the ability to understand large and complex systems and architectures. Openness and willingness to experiment & learn: readiness to take on new challenges, explore new technologies, and continuously expand knowledge in the ad tech domain. Independence & proactive attitude: ability to take initiative, make decisions, and act without excessive supervision while maintaining a high standard. Goal-oriented mindset: focus on achieving specific project goals and adaptability in a dynamic environment. Collaboration & communication: ability to work effectively with teammates and other teams, clearly sharing knowledge and cooperating with external organizations (e.g. major browser vendors, W3C, GitHub discussions). Ability to build Proof of Concepts (PoCs): creating prototypes and experimental solutions to evaluate effectiveness and utility. Selected Technologies & Projects: Python, Java, Scala, TypeScript/JavaScript PyTorch, NumPy, Pandas Jupyter Notebooks BigQuery, GCP Browser Engines Assessing new privacy mechanisms (e.g. Privacy Sandbox APIs) by building PoCs, testing, and suggesting improvements (via GitHub issues or meetings). The goal is to evaluate their feasibility, ensure compliance, and enhance user privacy. Exploring solutions for Android and iOS, including creating prototypes to improve performance on mobile platforms. This requires close collaboration with other teams and leveraging ML opportunities. Many more — including your own ideas! We Offer: Compensation: an attractive salary and career growth opportunities Technology: access to the latest technologies and real opportunity to use of them in a large-scale and highly dynamic projects; extensive and rich datasets Impact: your contribution will directly influence the company's business results and outcomes globally, while also giving you the chance to mentor less experienced colleagues in the team Wellbeing: extremely flexible conditions – you act when it is convenient for you and devote as much time as you can; you can operate fully remotely Culture: be part of a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment Apply now! You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.