Software Engineer for Machine Learning (d / f / m)

Why us?

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 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.

Where your expertise is needed

• Implement, improve and maintain ML pipelines to make them usable, efficient and scalable.
• Engage in code reviews, upholding high standards for clean, reliable code.
• Embrace learning new technologies, fostering innovation, and tackling diverse challenges.
• Work in an agile development environment and clearly communicate your results to the team.

What we are looking for

Nice to have

We are still keen to hear from you if you don't match all the above points!  Our needs are diverse and growing and you are encouraged to apply if you have any combination of these skills. The recruitment process is a comparative exercise and decisions will be made based on the applications we review at each time.

Our offer

Join us to make a difference!

About us

aignostics.com