Location: REMOTE / Montreal, Quebec
This job allows you to work remotely.
Our client is a mission-driven company that raised $60m in series A and series B financing and is now rapidly scaling. They spun out of the UC Berkeley AI Research Lab and develop artificial intelligence to support care for those with Alzheimer’s disease, dementia, and other cognitive impairments.
Alzheimer’s disease is the single most expensive disease in the US, costing an estimated $600b per year in direct and indirect costs. It affects 1 in 3 people over 85 and 1 in 9 people over 65. Their first product is focused on reducing the frequency and impact of falls, the leading cause of hospitalization for those living with dementia. They have peer-reviewed results showing up to 80% fewer falls with an average of 40% fewer falls and 80% fewer ER visits from falls.
They have raised capital from top VC firms, including Founders Fund, Eclipse, Foundation Capital, and Data Collective. The largest providers in the space are actively using, expanding, and evangelizing the service. They have also been awarded grants from the National Institutes of Health and the National Science Foundation, given the national importance of the issue – as the population continues to age, the global costs of Alzheimer’s and dementia are expected to double over the next 10 years. With fewer and fewer young people available to provide the care needed, we must find a way for technology to bridge the gap.
As Lead Applied Scientist in Computer Vision, you will develop and productize computer vision and machine learning models to support individuals living with dementia in assisted living and memory care settings.
You will help build new technologies to identify staff care, elopement, and physical or behavioral changes from images and videos. You will train and evaluate models in production on real, industry-leading data consisting of hundreds of thousands of hours of footage from thousands of deployed cameras.
Your contributions will meaningfully impact caretakers and those living with dementia by improving proactive care for residents and effectively addressing the challenges associated with their condition.