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Medical Machine Learning Jobs in North Carolina (NOW HIRING)

Judi Health

Senior Machine Learning Engineer

Charlotte, NC · On-site

$161K - $202K/yr

... and medical benefit administration on a single, secure platform. By delivering true price ... We are looking for an experienced software engineer with machine learning expertise to join us in ...

Capital Rx

Senior Machine Learning Engineer

Charlotte, NC · On-site

$161K - $202K/yr

... and medical benefit administration on a single, secure platform. By delivering true price ... We are looking for an experienced software engineer with machine learning expertise to join us in ...

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

Epic Games

Machine Learning Engineer, Memory

Cary, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience creating machine learning algorithms for vision and/or language problems and deploying ... Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k ...

Epic Games

Machine Learning Engineer, Memory

Cary, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience creating machine learning algorithms for vision and/or language problems and deploying ... Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k ...

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All JobsMedical Machine Learning JobsMedical Machine Learning Jobs in North Carolina

Medical Machine Learning information

What is a medical machine learning?

A Medical Machine Learning job involves developing and applying AI algorithms to analyze medical data, such as imaging, electronic health records, and genomics, to improve diagnosis, treatment, and patient outcomes. Professionals in this field work with clinicians, data scientists, and engineers to create predictive models, automate medical workflows, and ensure compliance with healthcare regulations. Strong knowledge of machine learning, data processing, and healthcare-specific challenges is essential.

What types of teams do medical machine learning professionals typically collaborate with in a healthcare setting?

Medical Machine Learning professionals often work in multidisciplinary teams that include data scientists, clinicians, software engineers, and regulatory experts. Collaboration with healthcare providers is common to ensure models address real clinical needs and comply with healthcare standards. You'll typically interact closely with IT departments for data access and security, as well as with research teams and sometimes external partners. Working in such dynamic teams allows you to contribute technical expertise while gaining insights from domain experts, leading to more successful and impactful machine learning projects.

What are the key skills and qualifications needed to thrive in the medical machine learning position, and why are they important?

To thrive in Medical Machine Learning, you need a strong background in computer science, statistics, and biomedical sciences, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and healthcare data management systems is crucial. Strong problem-solving abilities, collaboration skills, and the ability to communicate complex technical concepts to a diverse audience make a candidate stand out. These skills are critical for developing robust, effective machine learning solutions that can impact patient care and integrate seamlessly into clinical workflows.

What are the most commonly searched types of Medical Machine Learning jobs in North Carolina?

The most popular types of Medical Machine Learning jobs in North Carolina are:

What are popular job titles related to Medical Machine Learning jobs in North Carolina?

For Medical Machine Learning jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Medical Machine Learning jobs in North Carolina look for?

The top searched job categories for Medical Machine Learning jobs in North Carolina are:

Medical Machine Learning jobs near you
Infographic showing various Medical Machine Learning job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Machine Learning Engineer

Judi Health

Charlotte, NC • On-site

$161K - $202K/yr

Full-time

Posted 5 days ago

Job description

About Judi Health
Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing™ architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.
Location: Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area)
Position Summary:
Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.
In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.
Responsibilities:
  • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
  • Develop and maintain backend services using Python, focusing on AI-driven applications.
  • Design and implement APIs for seamless integration with AI models and services.
  • Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning.
  • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
  • Participate in code reviews, testing, and quality assurance processes.
  • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services.
  • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
  • Document and communicate development processes, system designs, and architectural decisions.
  • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations.

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum 4+ years of experience in industry with a strong focus on ML solutions development and production deployment.
  • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development.
  • Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
  • Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies
  • Familiarity with cloud platforms such as AWS or Azure.
  • Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services
  • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
  • Passion for customer, innovation, product quality, service excellence, and test engineering
  • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment.
  • Experience working with microservices/an API-based application paradigm.
  • Good written communication skills that enable collaboration in a remote environment.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
New York, NY Salary Range
$161,600-$202,000 USD
Denver, CO Salary Range
$148,400-$185,500 USD
Charlotte, NC Salary Range
$134,800-$168,500 USD
All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.

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