Machine Learning Manager

European Tech Recruit

Berlin

Hybrid

EUR 150,000 - 200,000

Full time

21 hours ago
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Job summary

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 ML research scientists and engineers while driving complex research and engineering projects.

Qualifications

  • PhD in a relevant field (e.g., CS, Math, ML).
  • 10+ years of experience in machine learning / deep learning.
  • 5+ years of experience leading technical projects and people.
  • Experience leading ML/DL research projects.
  • Strong experience with foundation models and modern AI architectures.

Responsibilities

  • Lead ML research scientists and engineers, driving complex research and engineering projects.
  • Provide technical direction across ML and DL research projects.
  • Manage and optimize research workflows for rigorous, reproducible results at frontier model scale.
  • Help define and advance the research agenda and maintain momentum toward breakthroughs.
  • Collaborate across research and engineering teams translating theory into scalable implementations.
  • Bridge advanced scientific research with large-scale engineering execution.

Skills

People leadership
Cross-functional collaboration
Technical communication
AI safety interest
Problem solving

Education

PhD in a relevant field

Tools

Foundation models
DL frameworks

Job description

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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