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
AWS
Azure
Cloud
Distributed Systems
Docker
ETL
Google Cloud Platform
Kubernetes
Pandas
Python
PyTorch
Scikit-Learn
Tensorflow
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
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