Senior Machine Learning (ML) Scientist - Signal Processing and Inverse Problems

Health Futures is a Research and Incubation team working at the intersection of computer science, signal processing, machine learning, and biomedicine. We are a global and diverse team of engineers, scientists and medical doctors who are working on next-generationArtificial Intelligence (AI)tools and methods for health and life sciences. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three, much like a lean startup. Our mission is to empower every person on the planet to live a healthier future.

We are looking foraresearchertohelp usadvance AI based techniques forprocessing real-world signals and measurements from medical instruments.The specific focus for this role will be ondevelopingAIthat can be used to transform and enhance signals from medical instruments. Thespecific focus area will be on medical imaging raw data and how the raw signals are transformed to images andultimately toclinically relevant insights.The work is focused oninverse problems and the modelling approachesthat can be used to solve them.You will lead efforts totrain and test models forimagereconstructionand for image restoration tasks such as denoising and super-resolution.In this role, you willleverageyour background insignal processing, inverse problems, and imagereconstruction and explore how the latest innovations in AImight help us improve advanced medical imaging techniques.You will need to take a hands-on approach to experiments and implementation, and you will be expected to write code that can beshared internally and externally.

#healthfutures #ai #signalprocessing #biomedicalimaging#mri #research

• DesignandImplement New Approaches:Focus on training and tuning large-scale, multi-modal deep learning models.

• Build ML Pipelines & Infrastructure:Develop robustarchitectureand training systems for rapid experimentation.

• Research Translation:Collaborate with researchers and domain experts to convertcutting-edgeresearch into practical solutions.

• Technical Leadership:Mentor team members and advise on strategic technical directions.

• Publications:Write scientific publicationsthatdemonstratehow AI might transform medical imaging and present our work atscientific meetings.