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Care.coach

Provider-led telehealth for high-risk patients

Lead Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • A doctorate in a related field is required.
  • At least 8 years of experience developing machine learning applications for practical use, including applicable graduate-school work.
  • At least 2 years of experience in an agile software development environment; experience with an early-stage startup is preferred.
  • At least 2 years of experience developing web-based applications, including web-based machine learning and data infrastructure.

Responsibilities

  • Develop machine learning applications for practical use.

Desired Qualifications

  • Experience with audio signal processing, automatic speech recognition, natural language processing, and natural language generation or dialogue for conversational automation.
  • Experience with computer vision for human activity and sentiment classification.
  • Experience developing data mining, analytics, dashboards, and reporting systems.
  • Experience in engineering management covering personnel and projects.
  • Experience with the LAMP stack, PHP, and the Django web framework.
  • Academic publications, conference speaking roles, or other public recognition as a top technical or domain expert.

About the Company

Care.coach

Provider-led telehealth for high-risk patients

Care.coach operates in telehealth and telecare to engage high‑risk, complex patients with the goal of improving health outcomes and lowering healthcare costs. It serves providers, caregivers, and patients, especially those with chronic diseases or at risk of hospital readmission. The core product is a HIPAA‑compliant platform that blends 24/7 health advocate teams, clinical algorithms, and avatar-based interactions to support patient care. It also offers a provider‑led telemedicine app that patients can use with minimal effort, making it suitable for those who are not tech-savvy. Revenue comes from subscriptions and service fees charged to healthcare providers and institutions. The platform aims to reduce inpatient issues like delirium and falls, improve chronic disease self‑management, and ensure continuity of care through integrated video visits and personalized care protocols.

Company size
51-200
Company stage
Grant
Total funding
$3.2M
Headquarters
Millbrae, CA
Founded
2015

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