Senior Applied Scientist, Computer Vision

* CANDIDATES MUST BE LOCATED IN THE UNITED STATES OR CANADA**

Safely You’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—Safely You 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.

Safely You 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.

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.

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.

• 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 Dev Ops and Engineering teams to ensure models are performant, scalable, and reliable in real-world environments.

• Cross-Functional Collaboration:
  
  Partner with Product, Fleet, and Dev Ops 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 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 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.

• 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,…