Machine Learning Engineer
vor 2 Monaten
Are you passionate about cutting-edge technology and healthcare? We're a dynamic Berlin-based medtech startup on a mission to revolutionize radiology with AI-powered software. Our innovative solutions automatically analyze MRI scans, enabling clinicians to make faster, more precise, and objective assessments.
We take pride in our two CE-certified products, mdbrain and mdprostate, which have become market leaders across Europe. Join our team and be a part of a company that's transforming the future of medical diagnostics.
Your missionYou will develop and train models for detecting and diagnosing medical conditions from radiological image data (MRI, CT).
You will be researcher and engineer at the same time: you will scan publications and evaluate the latest research, you will implement, test and analyse the most promising approaches, and finally you will transfer your results to production with the help of our engineers.
When developing solutions, you have the needs of our stakeholders in mind: in healthcare, interpretability and confidence assessment of predictions are key aspects.
You will be working within a modern software infrastructure based on Docker and AWS.
3+ years of work experience (industry or academia) in the field of computer vision (less experience is also acceptable for junior candidates)
Masters or Ph.D. in Engineering, Computer Science, Machine Learning, Math, Statistics or a related field.
Solid understanding of machine learning algorithms, you know which one to choose for which problem.
You know how to design experiments and how to statistically analyse the results.
Experience with a common deep learning framework, preferably pytorch.
Experience in one or more of the following: CNNs (2D and 3D), Semantic Segmentation, Object detection, Medical Image Processing.
Strong coding skills in Python (C/C++ is a plus).
You know how to handle large data sets in different formats and from heterogeneous sources .
Solid engineering skills: you know about version control, unit testing and continuous integration, and you value best practices and good code quality.
Nice to have:
Experience in medical imaging
Publications at top-tier conferences or in peer-reviewed journals
Experience with Docker
Experience with cloud computing (e.g. on AWS)
Experience with relational and non-relational databases
Our vision has a purpose: your work will help to make the diagnose of medical conditions faster, more accurate and more accessible.
You will have the opportunity to work on impactful, interesting and complex problems beyond standard deep learning object classification.
You will join a highly interdisciplinary team of motivated and highly collaborative data scientists, engineers, physicists and medical doctors with rapid decision-making processes.
Responsibility: you will play a key role in shaping our computer vision infrastructure from the ground up.
Learning: We hold regular knowledge-sharing sessions for discussing latest developments in the field.
You are free to employ the best suited technologies for the problem at hand, whether it's a cutting-edge deep learning architecture or a stochastic optimisation method from the 70s.
mediaire was founded in 2018 by Dr. Andreas Lemke and Dr. Jörg Döpfert – both physicists with a background in MRI physics.
The real founding history, however, dates back to 2009 when the scientific paths of Andreas and Jörg crossed several times with the renowned radiologist Prof. Henrik Michaely. Coming from different backgrounds and discovering that each had the same goal, the idea of a scientifically and economically successful high-tech product took shape – a software powered by artificial intelligence (AI) that allows highly efficient analysis of medical imaging data in Radiology to support radiologists in their daily routine.
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