Technical Researcher/Engineer

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 understand the equilibrium, design a test suite that will find the good-enough configuration balancing complexity and efficiency

• Many more, plus anything you can come up with!

What 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; working on extensive and rich datasets

• Impact: your work will be immediately impacting the company's business results and outcomes globally as well as mentor less experienced colleagues in the team

• Wellbeing: extremely flexible working conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely

• Culture: work in 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