Full-Time Lead Applied Scientist, Computer Vision

Candidates MUST be located in Canada

About SafelyYou SafelyYou’s passionate mission is to empower safer, more person-centered care across senior living through world-leading AI, industry-changing hardware, and remote expert clinicians, significantly improving outcomes for residents while increasing peace of mind for families and reducing costs for communities.

Your Role at SafelyYouAs a Lead Applied Scientist in Computer Vision, you will develop 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 also work to improve the performance of our existing fall detection product.

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.

Key Responsibilities

• Develop 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 our vast video dataset to enhance the precision and effectiveness of our services, both on embedded systems and in the cloud
• Work collaboratively with machine learning and software engineers to deliver the best products and solutions to our customers
• Quantify the business impact of new machine learning models and present experimental findings to non-technical stakeholders

The Ideal Candidate

• Postgraduate degree in Computer Science, Electrical Engineering, or related field
• 8+ years of demonstrated experience in the field
• Research experience in machine learning and/or computer vision
• Experience in applied machine learning or computer vision research in an industry setting
• Proficiency with Python and deep learning frameworks such as TensorFlow or PyTorch
• Effective communication skills for presenting progress and results to both technical and non-technical audiences
• One or more publications at top-tier computer vision or machine learning conferences such as CVPR, ECCV, NeurIPS, ICLR, etc. (preferred)
• Familiarity with software development best practices such as encapsulation, unit testing, version control, etc. (preferred)
• Comfort working collaboratively with a remote team

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