Graduate degree in Computer Science, Statistics, or related field., 5+ years of data engineering experience, including 3+ years in machine learning., Hands-on expertise in developing and deploying ML models, especially LLMs and transformers., Strong programming skills in Python and SQL, with experience in ML pipelines and cloud platforms like AWS Sagemaker..
Key responsibilities:
Lead the design and implementation of scalable AI infrastructure and products.
Collaborate with cross-functional teams to integrate AI solutions into healthcare services.
Develop and maintain robust data pipelines and ensure responsible AI development.
Drive innovation by optimizing ML workflows and ensuring model fairness and quality.
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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.
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.
To learn more about career opportunities at Accompany Health check out our career page at www.accompanyhealth.com/careers.
Accompany Health is on a mission to give lowincome patients with complex needs the dignified, highquality care they deserve but rarely receive. A primary, behavioral, and social care provider, Accompany Health walks alongside patients for their entire care journey, offering athome and virtual care, as well as 247 support. Partnering with innovative payors, Accompany Health is powered by remarkable care teams, elegant technology, and a commitment to evidencebased practice.
We build longterm 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 communitybased 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 longstanding 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:
Missioncritical, 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 endtoend experience.
Be part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debt.
Responsibilities will include:
Technical Leadership
Be 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 equity
Assemble large, complex data sets that address functional and strategic requirements.
Collaboration & Enablement
Partner with crossfunctional teams, including Executive, Product, Clinical, Data, and Design, to assist with datarelated 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 highquality and timely care. Optimize our ecosystem to generate meaningful insights and drive innovation
Develop efficient, reliable AI pipelines with strong monitoring and observabilityNavigate and optimize our data ecosystem to drive meaningful insights
Work with and assemble large, complex data sets that meet functional nonfunctional needs.
Desired skills and experience:
5+ years of data engineering experience, including 3+ years focused on machine learning
Graduate degree in Computer Science, Statistics, or related quantitative field
You are entrepreneurial and missiondriven and can present your ideas with clarity and confidenceProblem solver who can thrive in a remote but collaborative team environment
Handson expertise in:Developing and implementing modern LLM models and transformers
Developing and deploying ML models in a production environment Strong Python, SQL, and ability to create efficient and maintainable code for machine learning applications
Develop, 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 reproducibility
Continuously improve our ML infrastructure for stability, scalability, observability, and security
Develop internal tooling and libraries to enhance ML workflow efficiency
Performing root cause analysis identify opportunities for improvement
Healthcare experience is valuable but not required
#LILP1
For Patient Facing Roles
To keep our patients, communities and each other safe, youll 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. 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.
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.