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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Applied Scientist, Computer Vision - **Company:** SAFELYYOU INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Computer Vision, Cloud Computing, Directed Acyclic Graph (Directed Graphs), DevOps, Web Servers, Python (Programming Language), Machine Learning, Software Deployment, Web Services, Pytorch, Data Strategy, Docker - **Published:** July 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b1f88f1f10abfa9b ## About the Role * 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, 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., 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. ## Description 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., * 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. ## Related Videos - [Staying Safe in the AI Future](https://www.wearedevelopers.com/videos/521-staying-safe-in-the-ai-future) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)