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Machine Learning Team Lead

Aignostics

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Location:
Germany, Berlin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a (Senior) Machine Learning Team Lead at Aignostics’, you lead a team of (senior) machine learning research scientists towards advancing the state of the art in machine learning models for digital pathology. As team lead, you put the impact of your team first over your individual contributions. You coordinate interdisciplinary stakeholders, align and facilitate collaboration with other teams, and orchestrate the team internally, enabling team members to innovate, deliver, and grow. Having a deep understanding of machine learning and the literature, you provide guidance, reviews, and share knowledge to empower the team. Being involved with shaping our strategy, you translate company objectives into team goals and milestones, and report progress to diverse stakeholders.

Job Responsibility:

  • Lead a team of (senior) machine learning research scientists
  • Coordinate interdisciplinary stakeholders, align and facilitate collaboration with other teams
  • Orchestrate the team internally, enabling team members to innovate, deliver, and grow
  • Provide guidance, reviews, and share knowledge to empower the team
  • Translate company objectives into team goals and milestones
  • Report progress to diverse stakeholders
  • Take ownership of your team and its output, shaping its spirit and contributing to Aignostics culture
  • Promote the growth and development of your individual team members
  • Take responsibility for the motivation and happiness of your team members and provide psychological safety
  • Coach your team through difficult problems, facilitating team members to find solutions, learn, and grow
  • Contribute to Aignostics’ overall machine learning strategy, shape the team accordingly
  • Proactively coordinate with stakeholders to maximize your team’s impact
  • Scope, plan, and execute the research and development of innovative machine learning solutions end to end, owning your team’s roadmap
  • Manage your team’s workload, prioritize to unblock others, and delegate effectively
  • Identify risks early, develop mitigation strategies, and balance short-term delivery with long-term sustainability
  • Communicate team progress, challenges, and blockers proactively with stakeholders and explain stakeholder decisions to the team
  • Communicate clearly to align within the team
  • Explain technical subject matters to diverse, interdisciplinary stakeholders
  • Facilitate close collaboration and alignment between your team and relevant software engineering teams

Requirements:

  • Passion for growing and developing team members
  • Excellent communication and team working skills
  • PhD in relevant field (e.g. Machine Learning, Computer Science, or Bioinformatics) or comparable scientific industry experience
  • At least 5+ years of professional experience, with at least 2+ years of leadership experience in a research or development context
  • Eagerness to lead initiatives, learn new technologies, and excel in a complex space
  • Solid theoretical foundations and deep understanding of machine learning
  • Understanding of software development, cloud computing and machine learning software stacks
  • Highest standard for quality assurance, ensuring scientific and operational excellence
  • Value flat rather than steep hierarchies in a thriving environment of like-minded people

Nice to have:

  • Prior experience with digital pathology or medical imaging
  • Experience with developing large-scale self-supervised deep learning models ("Foundation Models") for vision and language applications
What we offer:
  • Competitive remuneration package in addition to perks and benefits
  • Learning & Development yearly budget of 1,000€ (plus 2 L&D days)
  • Language classes and internal development programs
  • Mentoring program
  • Flexible working hours and teleworking policy
  • 30 paid vacation days per year
  • Family & pet friendly and support flexible parental leave options
  • Subsidized membership of your choice among public transport, sports, and well-being
  • Social gatherings, lunches, and off-site events for a fun and inclusive work environment
  • Optional company pension scheme

Additional Information:

Job Posted:
December 16, 2025

Work Type:
Hybrid work
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