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 behavioural changes from images, videos, and time series. You will train and evaluate models in production on real, industry-leading data consisting of millions of hours of footage from tens of thousands of deployed cameras.

The Impact You’ll Make

We are looking for a "hybrid" talent: a scientist who can write production code and a developer who understands the nuances of research. You won’t just be optimizing a single metric; you will own products. You will be responsible for the entire lifecycle of a feature: from researching a Proof of Concept (PoC) to collaborating with engineering and other teams to deploy it at scale. Because this is a high-growth environment, you will be expected to navigate ambiguity, break down complex problems into actionable milestones, and collaborate across the organization to ensure our technology actually solves the problems our customers face.

Key Responsibilities:

• Product Ownership: Lead the development of new AI Capabilities from inception (research/PoC) to initial production deployment.
• Model Development: Design, train, and evaluate state-of-the-art computer vision models for fall detection, staff monitoring, and behavioural analysis.
• Production Engineering: Work closely with DevOps and Engineering teams to ensure models are performant, scalable, and reliable in real-world environments.
• Cross-Functional Collaboration: Partner with Product, Fleet, and DevOps teams to translate clinical needs into technical requirements.
• Data Strategy: Manage and derive insights from massive datasets of real-world data.
• Growth & Leadership: Act as a technical mentor and a bridge between departments, helping to scale our technical capabilities as the company grows.

The Ideal Candidate:

• A Smart Creative: You provide fresh viewpoints on actual client challenges, utilizing data to articulate issues and partnering with cross-functional teams and stakeholders to determine optimal outcomes.
• The Scientist-Developer Hybrid: You have a deep understanding of ML products focused on Computer Vision, but not limited to, and you are equally comfortable writing web services or Airflow DAGs.
• A Problem Solver: You are comfortable in a fast-paced, evolving environment where we define the roadmap together. When given a vague problem (e.g., "we need to detect elopement better"), you can ask clarifying questions, break it into smaller sub-problems, and create a plan. Our challenges involve noisy labels, iterative problem definition, and changing priorities. Our success is measured by our customers' outcomes, not by offline metrics.
• A Team Player: You embody the characteristics of an ideal teammate: you are humble, growth-oriented, and driven by results. You recognize the contributions of others and communicate effectively with non-technical stakeholders.
• Mission-Driven: You are motivated by our goal of improving the lives of those with cognitive impairments and their caregivers.

Qualifications

We recognize that exceptional candidates may not meet every qualification listed. If you're excited about our mission and believe you can contribute, we encourage you to apply.

• Education: MSc/PhD in a quantitative field OR equivalent professional experience.
• Technical Skills:
• Expertise in PyTorch, Python, Web Servers
• Strong proficiency in AWS, WandB, Docker
• Proven ability to research, build, and deploy proof of concept to the Cloud or on the edge.
• Proven ability to collaborate with Product and Operations teams. Experience presenting technical concepts to non-technical audiences.
• Excellent communication skills for presenting research outcomes to various types of stakeholders, including non-technical audiences.
• Experience publishing research in top-tier conferences (CVPR, ICCV, ICLR, etc) is valued but not required. We equally value candidates who have demonstrated impact through shipping AI systems to production.

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
• 401k Program
• 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.