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Staff Research Team Lead

RTB HousePolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano1 września 2026
Wykryte przez nas
Wykryte przez nas2 września 2026
Zarobki
Zarobki320 - 530 PLN

RTB House is seeking a Staff Research Team Lead to guide a dedicated team of machine learning researchers while maintaining a hands-on approach to technical development. In this role, you will be at the heart of our technological innovation, directly influencing core metrics and driving the evolution of our production-grade ML systems.

Key responsibilities

  • Lead and mentor a team of 4-8 researchers, setting clear project directions and prioritizing tasks to ensure successful delivery.
  • Own research projects from initial conception and analysis through to final deployment in production environments.
  • Solve complex, ambiguous problems by defining clear goals, measuring success, and implementing effective, elegant solutions.
  • Collaborate with various stakeholders to communicate project visions and ensure alignment across the organization.
  • Foster the professional growth of team members through consistent feedback, mentorship, and technical guidance.

Requirements

  • Extensive hands-on expertise in applied machine learning, with a proven track record of shipping models to production.
  • Strong leadership experience, including the ability to manage, unblock, and inspire a team of high-performing researchers.
  • Exceptional problem-solving skills with a focus on results and the ability to navigate high-scope, ambiguous challenges.
  • A pragmatic approach to development, prioritizing simple and effective solutions before scaling to complex tools.
  • Excellent communication skills, enabling effective collaboration and organization across diverse teams.

What we offer

  • The opportunity to lead high-impact research projects that directly influence core business metrics.
  • A collaborative environment that values technical excellence, innovation, and end-to-end ownership.
  • A fully remote work model that supports flexibility and professional autonomy.
  • Continuous opportunities for professional development and mentorship within a team of experts.

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