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Manager of Machine Learning

Veröffentlicht am

Arbeitsort
10115 Berlin, Berlin, Deutschland

Stellenbeschreibung

Machine Learning Manager - AI Safety Research Non-Profit - Berlin (Hybrid)

We are seeking an experienced Machine Learning Manager to join a growing team working at the forefront of AI safety and advanced machine learning research. As both a people manager and technical leader, you will lead a team of highly skilled ML research scientists and engineers while driving complex research and engineering projects. You

People Management:

  • Lead, mentor, and inspire a team of highly skilled ML research scientists and engineers.
  • Partner with technical leaders and talent acquisition teams to scale the organisation through active sourcing, interviewing, and onboarding.
  • Coach and develop team members while fostering an inclusive, collaborative, and intellectually rigorous culture.
  • Provide empathetic leadership and maintain a healthy, productive working environment as the team scales.

Technical Leadership:

  • Lead cross-functional project teams tackling complex, highly ambiguous scientific and engineering challenges.
  • Provide technical direction across ML and deep learning research projects.
  • Manage research workflows to ensure rigorous, reproducible results at frontier model scale.
  • Define and advance the research agenda, overcome complex technical roadblocks, and bridge the gap between theoretical concepts and practical, scalable engineering implementations.

Requirements:

  • PhD in Computer Science, Mathematics, Machine Learning, or a related discipline.
  • 10+ years of experience in machine learning and/or deep learning.
  • 5+ years of experience leading technical projects and people.
  • Demonstrable experience leading ML/deep learning research projects, working with foundation models, and navigating complex, open-ended research problems.
  • Strong interest in AI safety and advanced machine learning research.
  • Excellent written and verbal communication, problem-solving skills, resilience in ambiguous environments, and proven ability to operate in a collaborative matrix organisation.