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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. In 2026, RTB House launched rtb.com , a self-service platform specifically designed to allow small and medium-sized businesses and agencies to deploy auto-built creatives and maximize performance on any budget. 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: 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
