We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. We also believe that AI is a tool, not an identity – without access to high quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. That’s where we come in.
Aignostics is a spin-off from one of Europe's largest and most prestigious university hospitals (Charité), with employees in Berlin and New York. We have received over $20M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. We work with academic partners as well as leading global life sciences companies.
As a Senior Software Engineer for Machine Learning (d/f/m) 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.
At Aignostics, we believe that fighting cancer is a job for people of all identities, backgrounds and cultures. We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees. Applicants will be considered regardless of their age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe the more inclusive we are, the better our work will be.
Please note that this position is intended for software engineers with some data science experience, for a data scientist / machine learning / deep learning position please checkout our Data Scientist opening.
- Plan and execute software projects connecting machine learning, software engineering and biomedical domain knowledge
- Architect, maintain and supervise machine learning software roadmaps and stacks
- Transform proof-of-concept machine learning algorithms into automated, tested and production-ready systems
- Engage in code reviews, upholding high standards for clean, reliable code
- Support and guide junior colleagues
- Ph.D or MSc. in a relevant field, e.g. Computer Science, Machine Learning or Bioinformatics
- 5+ years of work experience in software development
- Advanced skills in Python, Linux, distributed computing, cloud computing and machine learning software stacks
- Passion for clean code and high standards for quality assurance
- Experience with distributed data processing (Hadoop, Spark, Ray), databases and cloud infrastructure (GCloud, AWS)
- Ability to independently define, organize and complete software development projects
- Excellent communication skills
- Eagerness to lead initiatives, learn new technologies and excel in a complex space
- Driven self-starter, well-organized and a strong team player
Nice to have
- Good understanding of parallel computing, performance optimization and scalability
- Good understanding of machine learning and data science
- Exposure to biomedical data
- Leadership experience in a medical device/software development environment
- Experience with agile software development processes and tools in regulated environments
- Experience in considering Information Security criteria under ISO 27001
- Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference!
- 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 budget, 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 28 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
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