Technical Researcher/Engineer

Location: [Country] 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. About the role As a Technical Researcher / Engineer within the Bidding Efficiency workflow, 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 improve their efficacy in 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. The following skills will be crucial: Strong technical proficiency : Programming skills and the ability to understand large and complex systems and architectures. Strong desire for learning and knowledge acquisition : Openness to continuous learning and expanding skills in the ad tech domain. Independence : Ability to make decisions and take action without excessive supervision while maintaining a high standard of work. Goal-oriented mindset : Focus on achieving specific project goals and the ability to adapt in a dynamic work environment. Teamwork : Ability to effectively collaborate with team members and other teams, both internally and externally. Good communication : Ability to clearly convey knowledge and information internally between teams and in cooperation with external organizations (major browser vendors, standardization forums like W3C, GitHub discussions). Openness and willingness to experiment: Readiness to take on new challenges, explore new technologies, and seek innovative solutions. Proactive attitude : Initiative in proposing ideas and actively seeking ways to improve existing processes and solutions. Ability to build Proof of Concepts (PoCs) : Capability to create prototypes and experimental solutions to evaluate their effectiveness and utility in practice. You will work with following tech stack: Python, Java, TypeScript/JavaScript NumPy, Pandas Jupyter Notebooks BigQuery, GCP Properietary Realtime Bidding platform Agentic AI assistants and tools of your choice Must have 3+ years of experience as researcher or engineer. Proficiency in programming. Strong analytical skills and the ability to interpret data to derive meaningful insights. Good communication skills to effectively collaborate with team members and stakeholders Example projects and technologies RTB House is a performance oriented company, and our technology is our main strength. We work with more than 2000 clients across EMEA, APAC, and the Americas. Our highly optimized system serves nearly 20 million queries per second. We evaluate multiple models during a request, including deep neural nets - Machine Learning is at the very heart of our operation. We are constantly improving and extending our platform. Example projects include: Exploring the unrealised potential of various nooks and crannies inside the Realtime Bidding ecosystem, including but not limited to finding bidding inefficiencies on protocol or integration level. Work requires both in-depth inquisitive approach as well as methodical research but is potentially very rewarding - what you find and improve will immediately impact the bottom line Contest the status quo. The platform is mature and highly efficient but a complex system is never fully optimized. Help research and under ... (truncated, view full listing at source)