Lead Applied Scientist, Computer Vision

Summary

Join SafelyYou as a Lead Applied Scientist in Computer Vision and contribute to our mission of empowering safer, more person-centered care in senior living. This remote role involves developing and productizing computer vision and machine learning models to support individuals with dementia. You will work with a vast video dataset to enhance the precision of our fall detection product and other services. Collaborate with engineers to deliver impactful solutions and present findings to stakeholders. This position offers a competitive compensation package and a mission-driven company culture.

Requirements

• Postgraduate degree in Computer Science, Electrical Engineering, or related field
• 8+ years of demonstrated experience in the field
• 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

Responsibilities

• Own or co-own the development and productization of 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
• Utilize our extensive fleet of cameras to run experimental models to expand our mission and services
• 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

Preferred Qualifications

• 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
• Comfort working collaboratively with a remote team

Benefits

• A mission-driven company culture
• Fully remote
• Stock Options
• Competitive salary & benefits, including fully paid employee premiums for Medical, Dental, Vision and Life Insurance
• 401K Program
• Company laptop
• Monthly Education, Well-being & WFH stipends
• Unlimited PTO
• Growth Potential
• Company Retreats
• Medical & Family/Parental Leave