Advanced Ultrasound Diagnosis in the Palm of Your Hand
Machine Learning Engineer (Diagnosis Application & ML Pipeline)€50k – €65k • No equity
We're looking for a smart mind to complement our team. You'll be part of an award-winning, international engineering and clinical team to provide automated point of care diagnosis for deep vein thrombosis (DVT). DVT leads to more deaths in the western world than AIDS, prostate cancer, breast cancer and car accidents combined!
Now to the tasks at hand:
At ThinkSono, we use deep learning to analyze ultrasound image streams in real-time. You will work on our user-facing application which guides the novice operator of an ultrasound probe on how to execute the DVT exam and validates the clinical correctness of the executed scan. You will develop DL models for real-time image analysis as well as building on top of our in-house machine learning pipeline based on PyTorch.
- Good python skills
- A solid base of software design/ design patterns
- A machine learning degree (Master's level)
- Familiar with PyTorch and image segmentation
- Software engineering experience (either through previous work experience or a degree, i.e. Bachelor's level)
ThinkSono at a glance
ThinkSono focuses on Medical Devices, Diagnostics, Healthcare Services, Ultrasound, and Medical Technologies. Their company has offices in Berlin. They have a small team that's between 1-10 employees.
You can view their website at http://www.thinksono.com