Staff Machine Learning Researcher

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RTB House

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🤖 Artificial Intelligence

📣 Marketing

💰 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

• Identify, define, and drive research projects with company-wide scope and direct impact on core metrics • Design and implement models, often deep neural networks, to predict Internet users’ behavior and preferences • Develop and test new modeling approaches for issues such as bidding in first-price auctions • Conduct and analyze A/B tests of new solutions • Follow and analyze the latest Machine Learning research and translate it into practical improvements • Mentor researchers and shape research practices across teams • Own projects end to end, from conception and analysis through research, proof of concept, testing, implementation, and deployment • Write code, train models, run experiments, and ship production ML systems • Collaborate with stakeholders and organize work effectively

🎯 Requirements

• 5+ years of experience as a researcher or engineer • 2+ years of hands-on experience with Machine Learning / Data Science • Proficiency in programming • Sound mathematical knowledge and intuitions • Ability to solve unclear problems by defining goals, success measures, and effective solutions • Hands-on ML expertise, including writing code, training models, running experiments, and deploying production systems • Results-oriented approach focused on simple, effective solutions • Leadership skills to identify high-potential projects, create a vision, communicate with stakeholders, and execute • End-to-end project ownership • Effective communication and work organization • Strong theoretical mathematics framework in statistics, probability, discrete mathematics, and combinatorics (nice to have) • AdTech experience (a plus, not required)

🏖️ Benefits

• Attractive compensation • Access to the latest technologies and opportunity to use them in large-scale and highly dynamic projects • Working on extensive and rich datasets • Work with immediate global business impact • Mentoring opportunities and impact through mentoring less experienced colleagues • Remote and on-site work possible • Flexible working hours • Knowledge-sharing culture with experienced ML professionals • No-BS work environment • Purpose-driven work with practical applications directly connected to business results