Må ha:PythonAWSGoogle CloudDockerCloudBackendAIHealthTechRemote
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 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. 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. Watch more here .
As our Machine Learning Engineer , you will be a crucial team member and will develop algorithms for medical imaging applications. 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?
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