Accompany Health is on a mission to give low-income patients with complex needs the dignified, high-quality care they deserve but rarely receive. A primary, behavioral, and social care provider, Accompany Health walks alongside patients for their entire care journey, offering at-home and virtual care, as well as 24/7 support. Partnering with innovative payors, Accompany Health is powered by remarkable care teams, elegant technology, and a commitment to evidence-based practice.
We build long-term relationships with our patients so they know, without question, that our team is here for them day or night, year after year. We focus on the health outcomes most important to our patients to make it clear that they lead the way.
To achieve our mission, we collaborate with community-based organizations, local providers, and health plans. Led by our empathetic care teams, guided by proven care models, and powered by our own technology, we deliver a level of service that our communities rightfully deserve but rarely receive.
While our headquarters is in Bethesda, MD, our teams are distributed across the country. If you're eager to make a tangible difference in people's lives, to help correct long-standing disparities in health care, join us.
About the role: As a Principal Machine Learning Engineer for Accompany Health, you will help us transform healthcare through AI at Accompany Health.
Your impact: -Mission-critical, be part of our growing team (and company).
-Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across multiple teams to help execute the choices.
-Drive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience.
-Be part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debt.
\n Responsibilities will include:Technical LeadershipBe the AI champion and empower others to leverage the data to its full potential with a review of AI models.Lead the technical design and implementation of reliable, scalable, and efficient Machine Learning infrastructure, products, and software solutions for external and internal customers.Lead the development of efficient, reliable AI pipeline architecture with strong monitoring capabilities.Provide technical leadership to develop data engineering best practices and standards that promote accessibility and usability. Data Strategy & Architecture Build and maintain robust, scalable data infrastructure to support current and future needs.Create and maintain optimal AI pipeline architecture with high observability and robust operational characteristics.Champion responsible AI development by implementing and reviewing models that maximize data value while ensuring fairness and equityAssemble large, complex data sets that address functional and strategic requirements. Collaboration & Enablement Partner with cross-functional teams, including Executive, Product, Clinical, Data, and Design, to assist with data-related technical issues and support their data infrastructure needsIdentify, design, and implement process improvements to enhance efficiency and scalability.Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Quality & Innovation Develop Safeguards to ensure that AI models are fair and appropriate so that all patients receive high-quality and timely care. Optimize our ecosystem to generate meaningful insights and drive innovationDevelop efficient, reliable AI pipelines with strong monitoring and observabilityNavigate and optimize our data ecosystem to drive meaningful insightsWork with and assemble large, complex data sets that meet functional / non-functional needs. Desired skills and experience:5+ years of data engineering experience, including 3+ years focused on machine learningGraduate degree in Computer Science, Statistics, or related quantitative fieldYou are entrepreneurial and mission-driven and can present your ideas with clarity and confidenceProblem solver who can thrive in a remote but collaborative team environmentHands-on expertise in: Developing and implementing modern LLM models and transformersDeveloping and deploying ML models in a production environment Strong Python, SQL, and ability to create efficient and maintainable code for machine learning applicationsDevelop, productize and maintain ML pipelines for model training, evaluation, deployment (such as AWS Sagemaker, Bedrock)Design and Implement best practices for model versioning, experimentation, and reproducibilityContinuously improve our ML infrastructure for stability, scalability, observability, and securityDevelop internal tooling and libraries to enhance ML workflow efficiencyPerforming root cause analysis identify opportunities for improvementHealthcare experience is valuable but not required
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For Patient Facing Roles To keep our patients, communities and each other safe, you'll be required to comply with Accompany Health's medical clearance requirements, including completing a TB screen and providing proof of immunity or vaccination for certain conditions. You will also be required to be vaccinated and up-to-date on your COVID-19 vaccinations, including boosters. This is a condition of employment, and we make exceptions as required by law. Accommodation for religious and medical beliefs will be provided on a case by case basis.
For Non-Patient Facing Roles To keep our patients, communities and each other safe, you'll be required to comply with Accompany Health's medical clearance requirements, including receiving the COVID-19 vaccine. This is a condition of employment, and we make exceptions as required by law. Accommodation for religious and medical beliefs will be provided on a case by case basis.
We embrace diversity and believe it creates a healthier atmosphere: Accompany Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.