Senior Software Engineer - AI Engineering

🏢 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 leading an AI Engineering Lab to design and deploy distributed systems, internal productivity tools, and multi-agent AI solutions. The position combines hands-on software engineering with architectural decision-making, including build vs. buy evaluations and integration of Agentic AI and LLM-based systems into production. Full ownership of the development lifecycle from concept to scalable, reliable deployment is required. 🗂️ Requirements: Minimum 6 years experience building and operating large-scale distributed systems, Strong proficiency in Python, Experience with at least one additional programming language (Java, Go, TypeScript, or Scala), Proven technical leadership and architecture design experience, Experience designing microservices or event-driven architectures, Experience integrating LLMs into production applications, Understanding of ML lifecycle and MLOps practices, Experience evaluating and integrating third-party tools and frameworks, Experience managing full software development lifecycle, Ability to design scalable, reliable distributed systems 📃 Skills: Python, Java, Go, TypeScript, Scala, Microservices, DistributedSystems, EventDriven, LLM, MLOps, AgenticAI, LangChain, AutoGen, Vercel, MCP, AWS, GCP, Azure, Docker, Kubernetes 🏢 Description: 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. Our approach is highly pragmatic: we build internal tools, intelligent agents, and MCPs to supercharge our engineering workflows. A critical part of our philosophy is knowing when to leverage off-the-shelf products and existing frameworks versus when to architect and build custom solutions. We need a leader who can navigate this landscape and pick the absolute best solution for the task at hand. You will: Lead & Mentor: Guide a small team of software engineers, fostering a culture of technical excellence, collaboration, and continuous improvement. Set and maintain high standards for code quality and system performance. Drive Pragmatic Architecture: Design and develop distributed systems, internal productivity tools, and multi-agent architectures. You will own the "build vs. buy/integrate" decisions - choosing the right mix of off-the-shelf AI products, APIs, and custom-built components. Innovate with Agentic AI: Spearhead the evaluation, prototyping, and integration of novel Agentic AI systems, LLMs, and Model Context Protocols (MCPs) to solve complex business and engineering problems. Own the Execution: Manage the full development lifecycle from concept to production deployment. Ensure that the solutions we deploy are reliable, scalable, maintainable, and deliver real value. Collaborate Cross-Functionally: Work closely with Product Manager, Engineering Managers, and broader engineering teams to align the Lab’s innovations with company strategy and platform requirements. Desired experience: Strong Software Engineering Background: Minimum of 6 years of professional experience building, deploying, and operating complex, large-scale distributed systems (e.g., microservices, event-driven architectures). Technical Leadership: Demonstrated experience defining technical roadmaps, mentoring engineers, leading code reviews, and driving high-level architectural decisions. Programming Languages: High proficiency in Python is mandatory. Experience with at least one other language (such as Java, Go, TypeScript, or Scala) is highly preferred. Solution Evaluation: Strong intuition and experience in evaluating third-party tools, frameworks, and vendor solutions to solve engineering problems efficiently rather than always building from scratch. AI/ML Integration: Experience integrating large language models (LLMs) into production applications, alongside a basic understanding of the Machine Learning lifecycle and MLOps practices. 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 high code quality – solid code reviews are our standard. Collaboration within an interdisciplinary, self-sufficient team including: DevOps (ensuring a great Developer Experience), database experts, backend developers, product designers, and QA engineers. Hardware and software tailored to your preferences – e.g. MacBook, AI tool licenses. Access to modern technologies and the opportunity to apply them in large-scale, high-impact projects. Flexible working conditions and fully remote cooperation.

🏢 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: 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: Staff Engineer role in a high-performance Bidding Platform processing 20M+ real-time auction requests per second. The position focuses on designing and leading complex distributed systems, improving end-to-end ad workflows, and driving architectural excellence in a Deep Learning-powered AdTech environment. It combines hands-on technical leadership with ownership of large-scale, cross-team initiatives. 🗂️ Requirements: 10+ years of experience designing, developing and deploying complex software systems, 3+ years of technical leadership experience in medium or large organizations, Strong expertise in distributed systems architecture and networking fundamentals, Ability to design and lead high-performance, scalable system solutions, Experience conducting code reviews and enforcing coding standards, Fluency in English (C1), Fluency in Polish (C1) 📃 Skills: Java, Python, Aerospike, Memcached, GoogleCloudPlatform, BigQuery, MinIO, Kafka, Clickhouse, PostgreSQL, Elasticsearch, Kubernetes, Prometheus, Jenkins, Graphite, OpenRTB, MRAID, VAST 🏢 Description: Location: Poland (Remote/Flexible) 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 Staff 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 of our ad technology and become familiar with ad industry standards: OpenRTB, MRAID, VAST etc. Analyse issues with our end-to-end ad workflows, reproduce problematic cases, and come up with proposals for improvements Design technical and operational solutions that improve ad experience and our performance metrics Lead implementation of the aforementioned architectural solutions, ensuring its high quality, and evaluating its impact on business performance 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. Cooperate with stakeholders across the entire organization Requirements: 10+ years of hands-on experience in designing, developing and deploying complex software systems 3+ years of tech leadership experience (e.g. tech lead, staff, architect roles) in medium or large organizations Excellent understanding of complex, distributed IT systems - from the hardware and networking level, through software, to algorithms C1 level in English and Polish Nice to have: Experience in the AdTech/Real Time Bidding space. Selected technologies used: Java, Python Aerospike, Memcached Google Cloud Platform, BigQuery, MinIO Kafka, Clickhouse PostgreSQL Elasticsearch Kubernetes, Prometheus Jenkins, Graphite 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: 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: Mid+/Senior Software Engineer role focused on building and maintaining internal automation and monitoring platforms that support real-time bidding systems. The position involves developing reusable components, internal Python libraries, and scalable APIs within a microservices architecture. The engineer will collaborate with cross-functional teams to deliver reliable, extensible backend solutions. 🗂️ Requirements: Solid backend development experience with Python, Experience building platforms, frameworks, or developer tools, Experience with relational databases and writing efficient SQL queries, Experience designing RESTful or GraphQL APIs, Experience with asynchronous programming, Understanding of microservices architecture and system design, Experience writing and maintaining unit and integration tests, Ability to design scalable and extensible systems 📃 Skills: Python, FastAPI, PostgreSQL, BigQuery, GraphQL, Ariadne, SQL, Pub/Sub, Pydantic, dataclasses, Pytest, Sentry, Prometheus, Grafana, GitHub, GCP, Kubernetes, REST, Microservices 🏢 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 Mid+/Senior Software Engineer to join our internal team at RTB House. You will work on applications and tools that directly support our real-time bidding business, collaborating with experienced engineers and product teams. This position is ideal for developers who want to grow their skills, solve real-world problems, and build reliable software that makes a visible difference. You Will: Design, develop, and maintain our internal Automation and Monitoring platforms. Design and build new, reusable components and 'steps' for our low-code automation platform, enabling teams across the company to build their own workflows. Contribute to the development of internal Python libraries and shared frameworks that are the foundation for other services. Write and maintain unit/integration tests to ensure platform reliability and code quality. Identify issues and propose improvements to enhance platform architecture, API design, and framework usability. Collaborate with other engineering teams to understand their needs and deliver new platform capabilities. Apply best practices in API design, microservices architecture, and building extensible systems. Desired Experience: Solid experience in backend development, ideally in building platforms, frameworks, or developer tools with Python. Familiarity with relational databases and ability to write efficient SQL queries. Deep understanding and hands-on experience in designing clean, extensible APIs (RESTful, GraphQL). Experience in asynchronous programming. Good understanding of system design concepts related to microservices architecture, scalability, and multi-tenant platforms. Experience with writing and maintaining tests. Problem-solving skills and the ability to work methodically through complex architectural challenges. Good communication skills and ability to work in a team. Selected Technologies: Backend: Python, FastAPI Databases: PostgreSQL, BigQuery 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