CareMessage is the technology non-profit building the largest patient engagement platform for low-income populations in the United States. The organization partners with safety-net organizations to increase access to care, improve clinical outcomes, and address social determinants of health through its data-powered patient engagement solutions. Using precision messaging and AI-backed platforms, CareMessage focuses on advancing health equity for underserved communities, working with federally qualified health centers, free and charitable clinics, tribal health organizations, and primary care associations. The platform supports healthcare providers by increasing operational effectiveness and automating patient communications, facilitating better engagement with patients, and helping healthcare organizations succeed in value-based care models.
Patient Engagement • Mobile Health • Healthcare Software • Patient Communication • Patient Messaging
51 - 200 employees
Founded 2012
🤝 Non-profit
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
💰 $250k Grant on 2020-07
November 28, 2024
AWS
Azure
Cloud
Distributed Systems
Docker
ETL
Google Cloud Platform
Kubernetes
Pandas
Python
PyTorch
Scikit-Learn
Tensorflow
CareMessage is the technology non-profit building the largest patient engagement platform for low-income populations in the United States. The organization partners with safety-net organizations to increase access to care, improve clinical outcomes, and address social determinants of health through its data-powered patient engagement solutions. Using precision messaging and AI-backed platforms, CareMessage focuses on advancing health equity for underserved communities, working with federally qualified health centers, free and charitable clinics, tribal health organizations, and primary care associations. The platform supports healthcare providers by increasing operational effectiveness and automating patient communications, facilitating better engagement with patients, and helping healthcare organizations succeed in value-based care models.
Patient Engagement • Mobile Health • Healthcare Software • Patient Communication • Patient Messaging
51 - 200 employees
Founded 2012
🤝 Non-profit
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
💰 $250k Grant on 2020-07
• Join us to Improve Health Equity for 5 Million People! • CareMessage is the technology non-profit building the largest patient engagement platform for low-income populations in the United States. • Powered by the Health Equity Engine™, the platform enables organizations to combine messaging, data, and interoperability to increase access to care, improve clinical outcomes, and address social drivers of health. • CareMessage is seeking a talented and experienced Senior (L3) AI/ML Engineer to join our dynamic data team. • As an AI/ML Engineer specializing in healthcare, you will have the opportunity to work on cutting-edge projects that leverage artificial intelligence and machine learning in the areas of clinical outcomes, increased access to care, and improvements in Social Determinants of Health for people from low-socio-economic backgrounds. • If you share our mission-driven commitment to advancing health equity for individuals of low socio-economic status nationwide and have a strong understanding of machine learning algorithms, data processing, along with a passion for using technology to improve healthcare outcomes, we would love to hear from you.
• 5+ years as an AI/ML Engineer with a focus on healthcare AI/ML use cases. • 5+ years of experience with Python and machine learning frameworks such as scikit-learn, SparkML, TensorFlow, PyTorch, pandas, Hugging Face, etc. • Strong understanding of machine learning algorithms (e.g., supervised and unsupervised learning, natural language processing, reinforcement learning). • Proven track record of applying ML techniques to healthcare data, particularly with natural language processing (NLP), Generative AI, and large language models (LLMs). • Hands-on experience in training, tuning, and deploying models in production environments, including proficiency in advanced prompting techniques and fine-tuning LLMs for various use cases. • Hands-on experience deploying machine learning models in cloud environments (preferably GCP, but AWS or Azure are acceptable). • Expertise in building and scaling end-to-end machine learning pipelines in production environments. • Familiarity with MLOps practices for model management and deployment. • Excellent communication skills to convey complex technical concepts to non-technical stakeholders and to collaborate effectively within a cross-functional team. • Strong expertise in data preprocessing, feature engineering, and model evaluation techniques. • Ability to translate business requirements and metrics into machine learning model specifications and solutions.
• Flexible work hours; fully remote team • Paid parental leave for biological and adopted children • Half-day Fridays, every Friday • 18 paid company holidays, including a one week mid-year and one week end-of-year break • 9 wellness days to be used for self-care- or anything that comes up in life • 15 days of PTO • 1-month (20 working days) paid sabbatical after the 4-year anniversary, and every 4 years thereafter • Generous medical, dental, and vision insurance for employees and their families • Health Savings Accounts and Flexible Spending Accounts • 401k retirement plan • Short & long-term disability insurance • $100 per employee yearly wellness budget, with flexibility to spend on physical, emotional, and mental wellness resources • PerkSpot: Instant access to discounts on products & services from hundreds of vendors • Annual budget for professional and personal development (webinars, online courses, books, and more) • Volunteerism incorporated in onboarding and encouraged on an ongoing basis
Apply NowNovember 27, 2024
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