Jobs in Yellowknife, Canada

*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.

Originating in 2015 as the doctoral research of CEO George Netscher—and inspired by his own family's experience with Alzheimer's disease—SafelyYou was spun out of UC Berkeley’s Artificial Intelligence Research Lab, one of the top five AI research groups in the world. And today, our company is solving critical challenges in senior living, from resident falls and ER visits to staffing concerns, length of stay, and NOI. All helping ensure that communities can focus on improved care for residents while still reaching their financial goals.

SafelyYou is one of five most innovative fall technologies referenced in the Senate Falls Report (2019), a winner of the McKnight’s Tech Partner of the Year, and has been named to Fortune’s Impact 20 list, which recognizes companies making people’s lives better through innovation.

Your Role at SafelyYou

As a Senior 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
• 5+ years of demonstrated experience in the field
• 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

Why Join Us? You Can Make a Difference!

SafelyYou offers a competitive compensation package, including but not limited to:

• A mission-driven company culture
• Fully remote
• Competitive salary & benefits, including fully paid employee premiums for Medical, Dental, and Vision
• Monthly Education, Well-being & WFH stipends
• Unlimited PTO
• Growth Potential
• Company Retreats
• Medical & Family/Parental Leave

At SafelyYou, we believe that a diverse, equitable, and inclusive workplace makes us a more relevant, competitive, and resilient company. We are committed to creating a diverse and inclusive workforce that celebrates diversity. We do not discriminate based on race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.

We value all the perspectives our team members bring to the table, and that is why we don’t look for culture fit, but culture add. We want to hear from YOU! We encourage you to apply even if you do not fit 100% of the technical requirements.