Lead Applied Scientist, Computer Vision
Safely You
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About SafelyYou
SafelyYou is an extremely mission-driven company that raised $60m in 2021 through series A and series B financing and is now rapidly scaling. Our company 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. Our 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. We've 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. We 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.
Your Role at SafelyYou
This is a remote role. As a 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 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.
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.
The Ideal Candidate
Minimum Qualifications
- Postgraduate degree in Computer Science, Electrical Engineering, or related field
- 2-4 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
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
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
- Excitement, creativity, and a fast-paced atmosphere
- Competitive salary & benefits, including fully paid employee premiums for Medical, Dental, Vision and Life Insurance
- Company laptop
- Monthly Education, Well-being & WFH stipends
- Non-accrual 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.
This job is no longer accepting applications
See open jobs at Safely You.See open jobs similar to "Lead Applied Scientist, Computer Vision" 7percent Ventures.