Machine Learning Engineer

YOUR MISSION

You 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.

YOUR PROFILE

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:

Verschlagwortet als: AWS, C++, Deep Learning, Docker, Python