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Epic Clarity Machine Learning Jobs (NOW HIRING)

Senior Machine Learning Engineer

$125K - $165K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ... You can bring clarity to ambiguity while remaining open-minded to new information that might change ...

Leveraging your deep expertise and mastery of machine learning, you will spearhead the development ... Extracts insights from clinical and operational data sources (Epic Clarity, HL7, DICOM, and other ...

Lead and manage a small, senior team of Machine Learning Engineers, empowering them with clear ... Embrace ambiguity and rapidly changing circumstances as opportunities to create clarity, structure ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... clarity and pace. That is how we work; it is not an add-on. You will build systems that embed AI ...

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... clarity and pace. That is how we work; it is not an add-on. You will build systems that embed AI ...

AI Learning Specialist

Windsor Mill, MD · Remote

$150K - $170K/yr

AI Learning Specialist Are you passionate about helping others discover the potential of machine ... backgrounds, emphasizing clarity and inclusiveness. Basic Qualifications * Exceptional ...

AI Learning Specialist

Baltimore, MD · On-site

$150K - $170K/yr

AI Learning Specialist Are you passionate about helping others discover the potential of machine ... backgrounds, emphasizing clarity and inclusiveness. Basic Qualifications * Exceptional ...

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

We're looking for a Machine Learning Team Lead to guide and grow our ML research and engineering ... Drive clarity on feasibility, prioritization, and estimation of ML work * Ensure Modulate continues ...

... with clarity and confidence. As the leading AI lending marketplace, we partner with banks and ... As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and ...

Machine Learning Team Lead

Somerville, MA · On-site +1

$170K - $210K/yr

We're looking for a Machine Learning Team Lead to guide and grow our ML research and engineering ... Drive clarity on feasibility, prioritization, and estimation of ML work * Ensure Modulate continues ...

Machine Learning Team Lead

Somerville, MA · On-site

$170K - $210K/yr

We're looking for a Machine Learning Team Lead to guide and grow our ML research and engineering ... Drive clarity on feasibility, prioritization, and estimation of ML work * Ensure Modulate continues ...

We're looking for a Principal Machine Learning Engineer to help shape the next phase of our ... Ideas over titles - IMC's culture values clarity, rigor, and collaboration. The best ideas win ...

Senior Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Maintain a high bar for code quality, testing, clarity, and reliability. * Contribute to ... Hands-on experience integrating machine learning models into production applications or services

... clarity and speed. By combining real-time analytics, intelligent automation, and a unified data ... As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering ...

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Epic Clarity Machine Learning information

What is an Epic Clarity Machine Learning professional?

An Epic Clarity Machine Learning professional specializes in leveraging Epic's Clarity database to develop and deploy machine learning models that improve healthcare operations and patient outcomes. They work with large datasets extracted from Epic's electronic health records (EHR) system, using statistical and machine learning techniques to identify patterns, predict trends, and support decision-making. Their role often involves data extraction, cleaning, model development, and collaboration with clinical and IT teams to implement actionable insights within healthcare organizations.

What are the key skills and qualifications needed to thrive as an Epic Clarity Machine Learning Specialist, and why are they important?

To thrive as an Epic Clarity Machine Learning Specialist, you need expertise in healthcare data analytics, SQL, and machine learning techniques, usually backed by experience with Epic Clarity databases and a background in computer science or a related field. Familiarity with Epic Clarity reporting tools, Python or R for modeling, and Epic certifications (such as Clarity Data Model or Cogito) are commonly required. Strong problem-solving ability, communication skills, and attention to detail set standout specialists apart, enabling them to translate complex data into actionable insights. These skills are vital for optimizing healthcare outcomes, ensuring data accuracy, and supporting evidence-based decision-making in clinical environments.

How does an Epic Clarity Machine Learning professional typically collaborate with clinical and IT teams on healthcare analytics projects?

Epic Clarity Machine Learning professionals regularly work alongside both clinical teams and IT specialists to design, develop, and implement predictive analytics solutions within the Epic ecosystem. They help translate clinical requirements into actionable data models, ensuring that the resulting insights are clinically relevant and technically feasible. Collaboration often involves regular meetings to refine project goals, troubleshoot data issues, and validate model outputs with subject matter experts, fostering a cross-functional environment that bridges healthcare and data science.
Infographic showing various Epic Clarity Machine Learning job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% In-person job distribution.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Clover Health

Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago


Job description

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.
We're looking for a Senior Machine Learning Engineer to help us build a revolutionary new health care business. Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep beneficiaries healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse events, our ML/NLP/LLM infrastructure is central to working on our central mission, and has a direct impact on our beneficiaries. You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the Machine Learning/Natural Language Processing/LLM capabilities of our Data Platform.
As a Senior Machine Learning Engineer, you will:
  • Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs.
  • Create, debug, interpret and improve production machine learning and natural language processing models.
  • Build the tools and validation processes that help Clover translate insights into action at scale.
  • Use existing commercial and open source tools to create a robust production platform.
  • Work closely with Clover's Data Science and Engineering teams to ensure that the ML/NLP/LLM Platform is providing real value.
  • Document, iterate, and provide tutorials to ensure Data Scientists are able to use your tools easily.

You will love this job if:
  • You want to create impact with your work by finding machine learning-driven insights in the data to unlock value and improve health outcomes for real people.
  • You are comfortable acting autonomously in ambiguous and changing environments.
  • You value collaboration and feedback. You can communicate technical vision in clear terms- to your teammates and across the technology team more broadly. You are willing and able to help your teammates grow by demonstrating best practices, providing (and receiving) respectful and constructive feedback, and disclosing your unique insights with everyone.
  • You enjoy working in a fluid environment, defining priorities that adapt to our larger goals. You can bring clarity to ambiguity while remaining open-minded to new information that might change your mind.
  • You are not hesitant to jump in to help fix things that are broken and you are encouraged to make sustainable systems. You are happy to fill in the gaps to reach a goal where necessary, even if it does not always fit your job description.
  • You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry.

You should get in touch if:
  • You have 5+ years of experience in Machine Learning Engineering roles in technology enabled companies. Healthcare experience preferred but not required.
  • You have experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.), and deploying Python apps into production environments.
  • You have experience with Natural Language Processing and/or LLMs.
  • You have a solid foundation in feature engineering, feature selection, and machine learning techniques.
  • You have experience interpreting, modifying, and debugging the inputs and outputs of production ML/NLP/LLM models.
  • You have both built and refactored complex distributed systems, especially ML/NLP/LLM systems.
  • You have scaled the impact of other engineers and data scientists through mentorship, development of reusable libraries, and documentation.

Benefits Overview:
  • Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
  • Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
  • Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
  • Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:
  • Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
  • Reimbursement for office setup expenses
  • Monthly cell phone & internet stipend
  • Remote-first culture, enabling collaboration with global teams
  • Paid parental leave for all new parents
  • And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.
Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.
With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.
Counterpart Health is a subsidiary of Clover Health. From Clover's inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one's identity. All of our employee's points of view are key to our success, and inclusion is everyone's responsibility.
#LI-REMOTE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant's education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$150,000-$200,000 USD

Clover Health Services logo

About Clover Health Services

Sourced by ZipRecruiter

Clover Health Services is a dynamic provider of travel nurse staffing services. Our Corporate staffs are the finest in the industry and are committed to paying attention to details when it comes to client requirements. Our frontline team of experienced recruiters is very friendly and well-informed, always willing and ready to help nurses with every phase of your travel assignment. Our Account Managers have a thorough understanding of hospital requirements and are quick to address all the requests from hospitals and also work seamlessly with the compliance department in placing nurses against open jobs on time. Clover partners with first-class hospitals across the nation which gives our nurses a variety of employment options to choose from. Added to this, our 24x7 helpline with professional support staff promptly address any special requests you may have and ensure all your needs are promptly addressed

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

White Plains, NY, US

Year founded

2016

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