Machine Learning Engineer I

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We have a diverse team from all corners of the world, composed of researchers, developers and experienced medical specialists who ensure our product and services match our clients' needs. As our Machine Learning Engineer , you will be a crucial team member and will develop algorithms for medical imaging applications.

We Offer You Chance to make a real difference in patients' lives Work in a stimulating environment with a motivated team Flexible Employment Agreement: Part time / Fulltime / Freelance Flexible working hours Laptop + home office/IT equipment* Employee Stock Option Plan (ESOP)* Corporate programs including Employee Referral Program with rewards Learning & Development opportunities including in-house training and coaching, professional certifications, and over 22,000 courses on LinkedIn Learning Solutions and much more. *All benefits and perks are subject to certain eligibility requirements Application Process Interview with Recruiter/HR Interview with Hiring Manager Technical assessment with Peers (no managers present) Prior employment verification check (reference/background check) Interview with Executive About us Nicolab was founded in 2015 following the acclaimed MR CLEAN trial, the first Randomised Clinical Trial proving the benefit of Endovascular Treatment.

Your mission Job Description Nicolab is a healthcare company that seeks to connect human & artificial intelligence to revolutionize emergency care. We are looking for a talented and passionate ML Engineer I, who brings a customer-centric approach to creating healthcare products with a highly positive impact on people’s health.

We believe the combination of artificial and human intelligence will revolutionize emergency care and we work each day to make that happen. Founded in 2015 as a spin-off from the Amsterdam University Medical Center, our research background continues to drive our way of thinking.

We’re first tackling the major issue of stroke, the leading cause of life-long disability, where we will ensure every patient gets the right treatment in time.

You will work closely with other machine learning engineers to develop biomarkers for Computed Tomography images, with software engineers to deploy the models on the cloud infrastructure, and with clinical specialists to validate the algorithms.

We are looking for someone who is inquisitive and eager to learn, to build AI powered medical devices that will bring positive change in the world.

Key Responsibilities Work with other Machine Learning Engineers to develop and maintain algorithms for stroke diagnosis, primarily on Computed Tomography images Research the literature, implement and modify deep learning and computer vision algorithms based on product requirements Collaborate with backend/cloud engineers to bring ML models into production on GCP/AWS Unit test development Design, implement, and test complex data pipelines to support training and validation of algorithms Create technical documentation about the algorithms and design intuitions Analyze and collect insights from the complex medical data Your profile Qualifications Good Python development skills, and scientific Python stack, i.e.

Numpy and Scipy 0-2 years of experience with deep learning for computer vision PhD required (PhD student at least) Hand-on experience with machine learning frameworks, like PyTorch Experience with 2D and 3D object detection Experience with building deep learning products and deploying them Experience with reinforcement learning for computer vision and NLP Experience with Docker Knowledge of DICOM protocol Experience with SimpleITK Experience with public cloud, i.e.

GCP and AWS Why us? The trial led to a global paradigm shift in acute stroke care and triaging, resulting in the hospital Hub and Spoke model. Leading MR CLEAN researchers and our co-founders, Dr. Merel Boers and Dr. Renan Sales Barros, recognized the need for an AI solution to revolutionize stroke care.

With exclusive access to the heterogeneous MR CLEAN dataset, Nicolab developed StrokeViewer. StrokeViewer provides the most accurate AI algorithms to diagnose stroke patients worldwide.

Our background is steeped in leading clinical research, which is why we continue to invest and contribute significantly to research, ensuring that Nicolab remains at the forefront of driving innovative change and improving outcomes for stroke patients.

While Nicolab continues to run its operations with Headquarters in Amsterdam, The Netherlands, we are proudly an Australian-based publicly unlisted company with an expanding global presence. Visit our website: Nicolab.com