Senior Machine Learning Researcher

🏢 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: 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: 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.

🏢 Summary: Backend Python Engineer role focused on building and optimizing large-scale analytics systems and data pipelines handling terabytes of campaign and financial data daily. The position involves developing high-performance backend services, ETL/ELT jobs, and APIs for data-heavy applications, ensuring reliability, scalability, and data integrity. Ideal for engineers experienced in data-intensive systems, SQL optimization, and big data architecture. 🗂️ Requirements: Solid experience in backend development with Python, Proficiency with relational databases, Ability to write optimized SQL queries, Experience with PostgreSQL, Experience with BigQuery, Understanding of RESTful APIs, Understanding of GraphQL APIs, Experience in asynchronous programming, Knowledge of system design in Big Data environments, Experience with ETL/ELT processes, Experience with writing and maintaining tests, Ability to work with data-intensive applications 📃 Skills: Python, FastAPI, PostgreSQL, BigQuery, SQL, GraphQL, Ariadne, PubSub, Pydantic, dataclasses, Pytest, Sentry, Prometheus, Grafana, GitHubActions, GCP, Kubernetes, REST, ETL, ELT 🏢 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. We are looking for a Python Software Engineer to join our internal team at RTB House. You will work on the backbone of our analytics, building applications and data pipelines that handle terabytes of data daily. This position is ideal for developers passionate about data-intensive systems, performance optimization, and building reliable software that provides critical business insights. You Will: Design, develop, and maintain the backend for web applications responsible for presenting massive-scale campaign statistics and financial data. Build and optimize large-scale data processing jobs (ETL/ELT) that feed our core analytics and reporting systems. Contribute to the development of internal Python libraries focused on high-performance data processing and analytics. Write and maintain unit/integration tests to ensure data integrity and code quality. Identify bottlenecks and propose improvements to enhance data pipeline performance, query speed, and data accuracy. Collaborate with Data Analysts and Product teams to deliver new metrics and analytical capabilities. Apply best practices in application design, data modeling, and building APIs for data-heavy applications. Desired Experience: Solid experience in backend development for data-intensive applications with Python. Strong proficiency with relational databases and the ability to write highly efficient, optimized SQL queries (PostgreSQL and BigQuery are key). Understanding of RESTful and GraphQL APIs conventions, especially for serving analytical data. Experience in asynchronous programming. Good understanding of system design concepts in the context of Big Data (e.g., data warehousing, ETL optimization, scalability) and willingness to learn more. Experience with writing and maintaining tests. Problem-solving skills and the ability to work methodically through complex data challenges. Good communication skills and ability to work in a team. Selected Technologies: Backend: Python, FastAPI Databases: BigQuery, PostgreSQL GraphQL: Ariadne Messaging: Google Pub/Sub Data Handling & Validation: Pydantic, dataclasses Testing: Pytest Monitoring: Sentry, Prometheus, Grafana CI/CD: GitHub Actions Cloud: GCP, Kubernetes We Offer: Being part of a small team with a high degree of autonomy and decision-making Access to the latest technology in the developed solution Opportunity to build and improve our own products, where long-term quality and reliability truly matter Participation in one of the most interesting projects of the online industry in Poland and one of the fastest growing technology companies in Europe 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: The offer is for a Python Software Engineer to build and optimize backend systems and large-scale data pipelines powering analytics and reporting for massive marketing datasets. The role focuses on high-performance data processing, ETL/ELT workflows, and scalable APIs in a Big Data environment. It involves developing reliable, data-intensive applications that deliver critical business insights. 🗂️ Requirements: Experience in backend development with Python, Proficiency in relational databases, Ability to write optimized SQL queries, Experience with PostgreSQL and BigQuery, Knowledge of RESTful APIs, Knowledge of GraphQL APIs, Experience in asynchronous programming, Understanding of Big Data system design concepts, Experience with ETL/ELT processes, Experience in writing and maintaining tests 📃 Skills: Python, FastAPI, SQL, PostgreSQL, BigQuery, GraphQL, Ariadne, Pub/Sub, Pydantic, dataclasses, Pytest, Sentry, Prometheus, Grafana, GitHub, GCP, Kubernetes 🏢 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. We are looking for a Python Software Engineer to join our internal team at RTB House. You will work on the backbone of our analytics, building applications and data pipelines that handle terabytes of data daily. This position is ideal for developers passionate about data-intensive systems, performance optimization, and building reliable software that provides critical business insights. You Will: Design, develop, and maintain the backend for web applications responsible for presenting massive-scale campaign statistics and financial data. Build and optimize large-scale data processing jobs (ETL/ELT) that feed our core analytics and reporting systems. Contribute to the development of internal Python libraries focused on high-performance data processing and analytics. Write and maintain unit/integration tests to ensure data integrity and code quality. Identify bottlenecks and propose improvements to enhance data pipeline performance, query speed, and data accuracy. Collaborate with Data Analysts and Product teams to deliver new metrics and analytical capabilities. Apply best practices in application design, data modeling, and building APIs for data-heavy applications. Desired Experience: Solid experience in backend development for data-intensive applications with Python. Strong proficiency with relational databases and the ability to write highly efficient, optimized SQL queries (PostgreSQL and BigQuery are key). Understanding of RESTful and GraphQL APIs conventions, especially for serving analytical data. Experience in asynchronous programming. Good understanding of system design concepts in the context of Big Data (e.g., data warehousing, ETL optimization, scalability) and willingness to learn more. Experience with writing and maintaining tests. Problem-solving skills and the ability to work methodically through complex data challenges. Good communication skills and ability to work in a team. Selected Technologies: Backend: Python, FastAPI Databases: BigQuery, PostgreSQL GraphQL: Ariadne Messaging: Google Pub/Sub Data Handling & Validation: Pydantic, dataclasses Testing: Pytest Monitoring: Sentry, Prometheus, Grafana CI/CD: GitHub Actions Cloud: GCP, Kubernetes We Offer: Being part of a small team with a high degree of autonomy and decision-making Access to the latest technology in the developed solution Opportunity to build and improve our own products, where long-term quality and reliability truly matter Participation in one of the most interesting projects of the online industry in Poland and one of the fastest growing technology companies in Europe 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: Technical leadership role focused on building and scaling an AI Engineering Lab that develops multi-agent systems and internal tools powered by LLMs to enhance engineering productivity. The position combines hands-on software development, architectural decision-making (build vs. integrate), and full lifecycle ownership from prototyping to production. The role emphasizes high-performance system design, AI integration in production, and cross-functional collaboration. 🗂️ Requirements: High proficiency in Python, Significant experience with at least one of: Java, Go, TypeScript, Scala, Hands-on experience integrating LLMs into production environments, Proven ability to evaluate third-party tools vs custom-built solutions, Experience designing distributed systems and multi-agent architectures, Ability to define technical roadmaps and drive high-level system design, C1 level English, C1 level Polish 📃 Skills: Python, Java, Go, TypeScript, Scala, LLM, AgenticAI, LangChain, AutoGen, Vercel, MCP, AWS, GCP, Azure, Docker, Kubernetes, DistributedSystems, API 🏢 Description: We are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Our proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to achieve outstanding results and meet their goals at every stage of the funnel. Join RTB House and lead our AI Engineering Lab, a team dedicated to pioneering innovation and boosting engineering productivity by leveraging the latest advancements in Agentic AI. We are looking for a hands-on technical leader with a strong, traditional software engineering background. In this role, you won't just be writing custom code from scratch. You will be an architect of efficiency. Our approach is highly pragmatic: we build internal tools and autonomous agents to supercharge our engineering workflows. You will be expected to navigate the "build vs. buy/integrate" landscape, determining when to leverage off-the-shelf LLM products and when to architect a custom, high-performance solution. You will: Drive Technical Excellence: Act as a technical pillar within the Lab, implementing high-standard code and sophisticated system designs. You will mentor mid-level peers and lead deep-dive code reviews. Architect Multi-Agent Systems: Design and deploy distributed systems and multi-agent architectures that automate complex engineering tasks. You will own the architectural decisions for "build vs. integrate" strategies. Innovate with Agentic AI: Spearhead the evaluation and prototyping of LLMs, Agentic frameworks, and Model Context Protocols (MCPs). You will transform theoretical AI advancements into production-ready tools. Own the Full Lifecycle: Take responsibility for the entire development cycle. From initial concept and API integration to production deployment and long-term scalability. Influence Product Strategy: Partner with Product and Engineering Managers to ensure the Lab’s innovations align with the broader company roadmap and provide measurable ROI to our developers. Desired experience: Pragmatic Architect: Proven ability to evaluate third-party tools and vendor solutions against custom-built software to find the most efficient path forward. Technical Stack: High proficiency in Python is mandatory. Significant experience with at least one other language (Java, Go, TypeScript, or Scala) is highly preferred. AI/ML Implementation: Hands-on experience integrating LLMs into production environments. Systems Thinker: Ability to define technical roadmaps for specific features and drive high-level design choices that prioritize maintainability and performance. C1 level in English and Polish. Nice to have: Direct experience building internal developer tools, custom Model Context Protocols (MCPs), or using Agentic AI frameworks (e.g., Vercel AI SDK, LangChain, AutoGen, Agent Development Kit). Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with the ad-tech industry and real-time bidding (RTB) 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: Technical leadership role focused on building and scaling an AI Engineering Lab that develops internal tools and multi-agent systems to enhance engineering productivity. The position combines hands-on software engineering with architecture design, LLM integration, and build-vs-buy decision making. You will drive end-to-end development of Agentic AI solutions from prototype to production in a high-performance environment. 🗂️ Requirements: High proficiency in Python, Significant experience with at least one of: Java, Go, TypeScript, Scala, Hands-on experience integrating LLMs into production environments, Experience designing distributed systems and multi-agent architectures, Ability to evaluate third-party tools vs custom-built solutions, Experience with system design and defining technical roadmaps, Ability to lead code reviews and mentor engineers, C1 level English, C1 level Polish 📃 Skills: Python, Java, Go, TypeScript, Scala, LLM, AgenticAI, LangChain, AutoGen, Vercel, MCP, AWS, GCP, Azure, Docker, Kubernetes, APIs, DistributedSystems 🏢 Description: We are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Our proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to achieve outstanding results and meet their goals at every stage of the funnel. Join RTB House and lead our AI Engineering Lab, a team dedicated to pioneering innovation and boosting engineering productivity by leveraging the latest advancements in Agentic AI. We are looking for a hands-on technical leader with a strong, traditional software engineering background. In this role, you won't just be writing custom code from scratch. You will be an architect of efficiency. Our approach is highly pragmatic: we build internal tools and autonomous agents to supercharge our engineering workflows. You will be expected to navigate the "build vs. buy/integrate" landscape, determining when to leverage off-the-shelf LLM products and when to architect a custom, high-performance solution. You will: Drive Technical Excellence: Act as a technical pillar within the Lab, implementing high-standard code and sophisticated system designs. You will mentor mid-level peers and lead deep-dive code reviews. Architect Multi-Agent Systems: Design and deploy distributed systems and multi-agent architectures that automate complex engineering tasks. You will own the architectural decisions for "build vs. integrate" strategies. Innovate with Agentic AI: Spearhead the evaluation and prototyping of LLMs, Agentic frameworks, and Model Context Protocols (MCPs). You will transform theoretical AI advancements into production-ready tools. Own the Full Lifecycle: Take responsibility for the entire development cycle. From initial concept and API integration to production deployment and long-term scalability. Influence Product Strategy: Partner with Product and Engineering Managers to ensure the Lab’s innovations align with the broader company roadmap and provide measurable ROI to our developers. Desired experience: Pragmatic Architect: Proven ability to evaluate third-party tools and vendor solutions against custom-built software to find the most efficient path forward. Technical Stack: High proficiency in Python is mandatory. Significant experience with at least one other language (Java, Go, TypeScript, or Scala) is highly preferred. AI/ML Implementation: Hands-on experience integrating LLMs into production environments. Systems Thinker: Ability to define technical roadmaps for specific features and drive high-level design choices that prioritize maintainability and performance. C1 level in English and Polish. Nice to have: Direct experience building internal developer tools, custom Model Context Protocols (MCPs), or using Agentic AI frameworks (e.g., Vercel AI SDK, LangChain, AutoGen, Agent Development Kit). Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with the ad-tech industry and real-time bidding (RTB) 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 TypeScript Engineer role focused on building and maintaining internal tools, web applications, and TypeScript libraries in a Deep Learning-powered AdTech environment. The position involves working with modern frameworks, shaping project tech stacks, and solving complex engineering challenges. Candidates will work with cloud technologies, testing practices, and scalable backend/frontend solutions. 🗂️ Requirements: Strong knowledge of TypeScript, Strong knowledge of Node.js, Experience with NestJS, Experience with React, Experience with Next.js, Experience with Google Cloud Platform, Experience with Docker, Minimum 5 years of professional experience, Knowledge of OOP principles, Knowledge of clean code and clean architecture, Familiarity with design patterns, Experience writing unit tests, Experience writing end-to-end tests, Very good knowledge of Git, Very good knowledge of Linux, Solid understanding of SQL, Communicative English 📃 Skills: TypeScript, Node.js, NestJS, React, Next.js, GCP, Docker, Git, Linux, SQL, OOP 🏢 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. As a Senior TypeScript Engineer, you will play a key role in designing, developing, and maintaining internal tools and libraries that support our teams across the organization. You will have the opportunity to work with the latest frameworks and libraries, shape the tech stack for each project, and tackle complex development challenges that require creativity and innovation. You Will: - Develop and maintain internal tools using a variety of technologies. - Build web applications (TypeScript) that support team workflows. - Design, develop, and maintain internal TypeScript libraries. - Select and adapt the most suitable libraries and frameworks for each project. - Solve complex development challenges with a creative, problem-solving approach. Desired Experience: - Strong knowledge of TypeScript and Node.js. - Experience with NestJS. - Hands-on experience with React / Next.js. - Experience with Google Cloud Platform (GCP). - Experience with Docker. - Minimum of 5 years of professional experience with the above technologies. - Knowledge of OOP principles, clean code, and clean architecture. - Familiarity with design patterns and the ability to apply them. - Experience in writing unit tests and end-to-end tests. - Very good knowledge of Git and Linux. - Solid understanding of SQL. - Communicative level of English. - Independence, proactivity, and eagerness to learn and grow. Nice to Have: - Knowledge of Google Analytics or Google Tag Manager. - Previous experience in the AdTech/Advertising industry. We Offer: - The opportunity to contribute to one of the most exciting online projects in Poland with global reach. - Hands-on experience in RTB, the fastest-growing and most innovative area of online advertising. - Development-focused tasks and a strong emphasis on continuous learning and skill improvement. 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.