Machine Learning Manager

European Tech Recruit; Berlin; Hybrid; EUR 140.000 - 190.000; Vollzeit

Zusammenfassung

European Tech Recruit is partnering with an AI company in Berlin to recruit a Machine Learning Manager. You will lead a team of ML researchers and engineers, bridging cutting-edge research with large-scale engineering execution.

The role combines people management with strong technical leadership, overseeing cross-functional projects and defining the research agenda in a collaborative, matrix-style organisation in Berlin. Hybrid work is offered.

Qualifikationen

• PhD in Computer Science, Mathematics, ML or related field.
• 10+ years of ML/DL experience.
• 5+ years leading technical projects and people.

Aufgaben

• Lead and mentor a team of ML researchers and engineers.
• Set technical direction across ML and DL research.
• Oversee research workflows for rigorous results at frontier model scale.
• Bridge research with large-scale engineering execution.

Kenntnisse

Machine learning

Deep learning

Leadership

Research leadership

AI safety

Ausbildung

PhD in Computer Science / related field

Tools

Foundation models

AI architectures

Jobbeschreibung

European Tech Recruit are working closely with an exciting AI company committed to advancing research and creating technical solutions that enable safe-by-design AI systems.

They are looking for a talented Machine Learning Manager to join them on a hybrid basis in Berlin.

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 will operate within a collaborative, matrix-style environment, bridging cutting-edge scientific research with large-scale engineering execution.

Responsibilities as Machine Learning Manager:

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.
• Drive technical hiring, including active sourcing, interviewing and onboarding.
• Coach and develop team members, helping them deliver their best work while building new skills and expertise.
• Foster an inclusive, collaborative and intellectually rigorous team environment.
• Provide strong and empathetic leadership while maintaining a healthy and productive working culture as the organisation scales.

Technical Leadership

• Lead cross-functional project teams tackling complex and often highly ambiguous scientific and engineering challenges.
• Provide technical direction across machine learning and deep learning research projects.
• Manage and optimise research workflows to ensure rigorous, reproducible results at frontier model scale.
• Help define and advance the research agenda, maintaining momentum towards significant technical breakthroughs.
• Identify and overcome complex technical challenges and roadblocks.
• Collaborate across research and engineering teams, translating theoretical concepts into practical, scalable implementations.
• Bridge the gap between advanced scientific research and large-scale engineering execution.

Requirements:

• PhD in a relevant field, such as 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 machine learning or deep learning research projects.
• Strong experience working with foundation models and modern AI architectures.
• Experience working on complex, open-ended research problems.

Leadership & Role Fit

• Strong interest in AI safety and advanced machine learning research.
• Excellent written and verbal communication skills, with the ability to translate complex scientific concepts for both technical and non-technical audiences.
• Strong problem-solving skills and resilience when working through ambiguous or technically challenging problems.
• Proven ability to push the boundaries of technical research while maintaining a sustainable and healthy working environment.
• Ability to operate effectively within a collaborative, matrix-style organisation.
• Strong interpersonal and stakeholder-management skills, with the ability to work effectively across research, engineering and leadership teams.

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