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Senior Machine Learning Engineer

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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 Engineer at Aignostics, you work hand in hand with our collaborators in academia and industry to push the state of the art of machine learning for digital pathology. You will develop distributed software systems for machine learning applications that will help to improve cancer research and diagnostics. Together with your colleagues you will take care of the machine learning software stack and thereby enable our teams to build medical grade quality and scalable machine learning models.

Job Responsibility:

  • Design, develop, deploy and maintain robust ML pipelines to make them usable, efficient and scalable
  • Optimize and fine-tune data pipelines for production
  • Engage in code reviews, upholding high standards for clean, reliable code
  • Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions
  • Embrace learning new technologies, fostering innovation, and tackling diverse challenges. Contribute to the development of our ML infrastructure, pipelines, services, monitoring systems and codebase in general
  • Work in an agile development environment and clearly communicate your results to the team
  • Mentor and guide junior engineers, providing technical leadership and insights

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus
  • 4+ years of work experience in software development, machine learning or a related field
  • Advanced programming skills in Python, with experience with other languages (e.g. C/C++, CUDA, Java, Rust) being a plus
  • Good understanding of distributed systems and frameworks, parallel computing and scalability
  • Experience with cloud platforms (GCP, AWS or Azure), familiarity with MLOps / DevOps best practices (incl. CI/CD, Docker, Kubernetes and observability)
  • Dedicated to high coding standards and knowledgeable about best practices in development workflow
  • Experience with Linux, version control and container technologies
  • Data engineering skills, experience with working with large datasets
  • Excellent problem-solving skills and the ability to work independently and as part of a team
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Nice to have:

  • Experience with deploying models into production
  • Experience with Google Kubernetes Engine, Ray distributed computing framework and Prefect
  • Hands-on experience with machine learning and data science. Proven experience with ML framework, such as Tensorflow, PyTorch or scikit-learn
  • Experience with working on biomedical data (especially working with image data)
  • Experience with software development in regulated environments, specifically considering Information Security criteria under ISO 27001
What we offer:
  • Join a purpose-driven startup: We are working collectively to fight cancer and improve patient outcomes
  • Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
  • Work with a welcoming, diverse and highly international team of colleagues
  • Opportunity to take responsibility and grow your role within the startup
  • Expand your skills by benefitting from our Learning & Development yearly budget of 1,000€ (plus 2 L&D days), language classes and internal development programs
  • Mentoring program, you’ll learn from great experts
  • Flexible working hours and teleworking policy
  • Enjoy your well-deserved time off within our 30 paid vacations days per year
  • We are family & pet friendly and support flexible parental leave options
  • Pick a subsidized membership of your choice among public transport sports and well-being
  • Enjoy our 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

Employment Type:
Fulltime
Work Type:
Hybrid work
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