Staff ML Research Lead — Remote & Flexible Hours

RTB House; Warszawa; Hybrid; PLN 320,000 - 520,000; Full time

Benefits offered by this job

Remote options

Flexible hours

Global team

Job summary

RTB House is seeking a Staff Research Team Lead to steer a small team of ML researchers while remaining hands-on. You will mentor 4–8 researchers, drive research projects with impact on core metrics, and deliver end-to-end models for user behavior and bidding in production systems.

This role combines technical excellence with leadership, requiring strong problem solving, experimental rigor, and clear communication with stakeholders across the organization.

Qualifications

• 5+ years of experience as researcher or engineer.
• 2+ years of hands-on experience with Machine Learning / Data Science.
• Proven leadership experience, with at least 2 years of managing and mentoring an engineering or research team.
• Proficiency in programming.
• Sound mathematical knowledge and intuitions.

Responsibilities

• Manage a team of 4–8 researchers: set priorities, review work, and support their career growth.
• Balance your own hands-on research with team leadership, aiming at a 50/50 split.
• Identify, define, and drive research projects with company-wide scope and direct impact on our core metrics.
• Design and implement models, most often deep neural networks, used to predict the behavior and preferences of Internet users.
• Develop and test new approaches to modeling key issues, such as bidding in first-price auctions.
• Conduct and analyze A/B tests of new solutions.
• Follow and analyze the latest works in the field of Machine Learning, and translate them into practical improvements.
• Mentor researchers and shape research practices across teams.

Skills

Hands-on ML

Team leadership

Research experience

Tools

Python

Java

Scala

Job description

RTB House is seeking a Staff Research Team Lead to steer a small team of ML researchers while remaining hands-on. You will mentor 4–8 researchers, drive research projects with impact on core metrics, and deliver end-to-end models for user behavior and bidding in production systems.

This role combines technical excellence with leadership, requiring strong problem solving, experimental rigor, and clear communication with stakeholders across the organization.