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.