Senior Technical Researcher/Engineer

🕒 June 22

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RTB House

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🤖 Artificial Intelligence

💰 Private Equity Round on 2019-01

Advertising • Artificial Intelligence • Marketing

RTB House is a global leader specializing in deep learning-powered online ad campaigns. The company provides personalized retargeting and brand visibility services using advanced AI technology to engage new and existing customers across multiple markets. RTB House's dynamic ad formats and deep learning capabilities allow businesses to set ambitious sales targets and drive brand loyalty. Additionally, the company offers solutions to manage the evolving digital ecosystem post-cookies while ensuring brand safety and innovation through collaborative client feedback. With a presence in over 90 markets and partnerships with 700K+ publishers, RTB House delivers measurable results for both direct clients and agencies, helping them achieve competitive advantages in the digital advertising space.

📋 Description

• Play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. • Conduct in-depth research, experimenting with new technologies. • Collaborate with cross-functional teams to assess their potential for integration into systems. • Involve a blend of programming, research, and analytical skills to evaluate effectiveness and feasibility of various ad tech solutions.

🎯 Requirements

• 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 cooperate 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.

🏖️ Benefits

• 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 • Contract Types: B2B