Job Title: (Senior) Machine Learning Team Lead (d/f/m)
Location: Germany - Berlin
Employment Type: Full-time
Department: unspecified

Responsibilities

• Team Ownership:

  • Take ownership of your team and its output, shaping its spirit and contributing to Aignostics culture.
  • Promote the growth and development of individual team members.
  • Ensure motivation and happiness of team members, providing psychological safety.

• Scientific Leadership:

  • Lead a machine learning team (5-10 members) with scientific and operational excellence.
  • Provide guidance, reviews, and share knowledge to empower team members.
  • Coach your team through difficult problems, facilitating solutions and growth.

• Strategic Thinking:

  • Contribute to Aignostics’ overall machine learning strategy.
  • Translate company objectives into team goals and milestones.
  • Proactively coordinate with stakeholders to maximize team impact.

• Technical Project Management:

  • Scope, plan, and execute the research and development of innovative machine learning solutions.
  • Manage team workload, prioritize tasks, and delegate effectively.
  • Identify risks early and develop mitigation strategies.

• Communication:

  • Communicate team progress, challenges, and blockers proactively with stakeholders.
  • Ensure clear communication within the team regarding priorities.
  • Facilitate collaboration between your team and relevant software engineering teams.

Qualifications

• Passion for growing and developing team members.
• Excellent communication and teamwork skills.
• PhD in a 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.
• Commitment to the highest standards for quality assurance.

Preferred Qualifications

• 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.

Our Offer

• Join a purpose-driven startup working collectively to fight cancer and improve patient outcomes.
• Engage in fun, cutting-edge AI research and development, collaborating with Charité, TU Berlin, and other partners.
• Work with a welcoming, diverse, and highly international team.
• Opportunity to take responsibility and grow your role within the startup.
• Competitive remuneration package with additional perks and benefits.
• Expand your skills with a yearly Learning & Development budget of €1,000 (plus 2 L&D days), language classes, and internal development programs.
• Participate in a mentoring program with great experts.
• Flexible working hours and teleworking policy.
• Enjoy 30 paid vacation days per year.
• Family & pet-friendly policies with flexible parental leave options.
• Subsidized membership for public transport, sports, and well-being.
• Enjoy social gatherings, lunches, and off-site events for a fun and inclusive work environment.
• Optional company pension scheme.