Job title: Lead Computer Vision Scientist

Company: GuruLink

Job description: Location: REMOTE / Montreal, Quebec
This job allows you to work remotely.Our client is an mission-driven company that raised $60m series A and series B financing and is now rapidly scaling. They spun out of the UC Berkeley AI Research Lab and develops 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. We 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, and 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 the Lead Comp Vis Scientist
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.You will:

  • Develop and productize machine learning models that analyze images and videos to assist individuals living with dementia as well as their families and caretakers.
  • Work on core computer vision tasks such as object detection, human pose estimation, activity recognition, and video understanding in the context of assisted living and memory care.
  • Leverage the vast video dataset to enhance the precision and effectiveness of the services, both on embedded systems and in the cloud.
  • Utilize the extensive fleet of cameras to run experimental models
  • Work collaboratively with machine learning and software engineers to deliver the best products and solutions to the customers.
  • Quantify the business impact of new machine learning models and present experimental findings to non-technical stakeholders.

Must Have Skills:

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  • PhD degree in Computer Science, Electrical Engineering, or related field
  • 8+ years of demonstrated experience in the field
  • 2+ years of in the role of a lead applied researcher
  • Research experience in machine learning, computer vision, or image processing
  • Proficiency with Python and deep learning frameworks such as TensorFlow or PyTorch
  • Ability to own both software development and research scientist activities as the situation demands
  • Effective communication skills for presenting progress and results to both technical and non-technical audiences

Nice to Have Skills:

  • One or more publications at top-tier computer vision or machine learning conferences such as CVPR, ECCV, NeurIPS, ICLR, etc.
  • Familiarity with cloud computing platforms such as AWS, GCP, or Azure
  • Familiarity with software development best practices such as encapsulation, unit testing, version control, etc.

Location: Montreal, QC

Job date: Fri, 05 Jul 2024 22:45:05 GMT