Technical Researcher

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 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. 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 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. 

Desired Experience:

• 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.

Selected Technologies:

• Python, Java, Scala, TypeScript/JavaScript
• PyTorch, NumPy, Pandas
• Jupyter Notebooks
• BigQuery, GCP
• Browser Engines

Example Projects:

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 10 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 APIs and technologies:

• Intelligent Tracking Prevention (ITP), 
• Interoperable Private Attribution (IPA), 
• Private Click Measurement (PCM), Private Ad Measurement (PAM), 
• Attribution Reporting API (ARA), 
• Trusted Execution Environment (TEE) + Protected Audience API, TEE + Aggregation Service.

Example Projects Include:

• Exploring the potential of utilizing new privacy mechanisms, such as the Privacy Sandbox, which provides a set of APIs. Some of these APIs require in-depth understanding and investigation. This project involves potentially creating a Proof of Concept (PoC), testing, and potentially reporting necessary enhancements (e.g., as a GitHub issue or in a meeting). The aim is to assess the feasibility and effectiveness of integrating these privacy mechanisms into our systems while ensuring compliance with privacy regulations and enhancing user privacy.
• Exploration of solutions for mobile devices, focusing on understanding solutions for Android and iOS platforms. This project involves creating a potential solution to improve our performance on these platforms. It requires close collaboration with other teams, particularly in terms of integration and leveraging new opportunities in machine learning.
• Many more, plus anything you can come up with!

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

Purpose-Driven Work: being at heart of the system, your growing knowledge and competences will be used in practical applications directly connected to business 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.