Staff Research Team Lead

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🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

✨ Team Lead

👻 Ghost score 10%

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Logo of RTB House

RTB House

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

• Lead a small team of 4–8 ML researchers while remaining hands-on • Set direction, priorities, review work, unblock team members, and support career growth • Balance hands-on research and team leadership at approximately a 50/50 split • Identify, define, and drive company-wide research projects impacting core metrics • Design and implement deep neural network models predicting Internet-user behavior and preferences • Develop and test modeling approaches for issues such as bidding in first-price auctions • Conduct and analyze A/B tests • Follow Machine Learning research and translate findings into practical improvements • Mentor researchers and shape research practices across teams • Own projects end to end from conception through analysis, proof of concept, testing, implementation, and deployment

🎯 Requirements

• 5+ years of experience as researcher or engineer • 2+ years of hands-on experience with Machine Learning / Data Science • At least 2 years of experience managing and mentoring an engineering or research team • Proficiency in programming • Sound mathematical knowledge and intuitions • Strong individual-contributor capability in applied ML research • Ability to solve unclear problems and define measurable goals • Hands-on experience writing code, training models, running experiments, and shipping ML systems • Team leadership, project prioritization, stakeholder communication, and mentorship • Experience in AdTech is a plus, but not required • Strong theoretical mathematics framework, experience hiring and building research teams, and experience leading applied research in a production environment are nice to have

🏖️ Benefits

• Access to the latest technologies and opportunity to use them in large-scale, highly dynamic projects • Working on extensive and rich datasets • Remote and on-site work possible • Flexible cooperation hours • Knowledge sharing and learning within an experienced ML team • Practical work directly connected to business results

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