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Healthcare Machine Learning Product Manager Jobs

Judi Health

Senior Machine Learning Engineer II

Charlotte, NC · On-site

$102K - $140K/yr

At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we ... Collaborate with product managers, engineers, and other stakeholders as a specialist and subject ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

Train, and deploy machine learning models in production environments. * Work with senior team members to develop enterprise quality ML systems, spanning multiple ML domains * Operationalize ML model ...

Artha Nexgen

Machine Learning

Cupertino, CA · On-site

... engineers, and product managers to architect and deliver state‑of‑the‑art inference ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Apex Informatics

Senior Machine Learning Engineer

$107K - $146K/yr

Open (Can submit at any rate) PURPOSE: we're working to Advance Care through data-driven decisions ... In this role you will design and implement algorithmic product architectures to bring our machine ...

Flexjet LLC

Machine Learning Engineer

Cleveland, OH · On-site

Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role ... Help deploy ML models into production under guidance * Clean, preprocess, and analyze datasets for ...

JustPark, Inc

$93K - $123K/yr

About the role We are hiring a Senior Product Manager for Applied AI and Machine Learning -- a ... Multiple healthcare plan options including low-deductible and HSA, plus broad supplemental benefits

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

You'll work with large-scale image and video data, building and optimizing production-grade vision ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

A high level of comfort with academic literature and the ability to adapt research products to ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

A high level of comfort with academic literature and the ability to adapt research products to ... Our work is improving healthcare outcomes, increasing national security, and advancing our national ...

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Healthcare Machine Learning Product Manager information

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How much do healthcare machine learning product manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for healthcare machine learning product manager in the United States is $81,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Healthcare Machine Learning Product Manager jobs?

For Healthcare Machine Learning Product Manager jobs, the most frequently searched job titles are:

Infographic showing various Healthcare Machine Learning Product Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $81,416 per year, or $39.1 per hour.

Senior Machine Learning Engineer II

Charlotte, NC • On-site

Judi Health
See more jobs at Judi Healthexternal

$102K - $140K/yr

Full-time

Posted 29 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 II. 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.
  • Design multi-agent orchestration patterns (e.g. supervisor/subagent architectures, tool-use boundaries, human-in-the-loop gating) and evaluate architectural tradeoffs for scaling agent development across teams.
  • Contribute to the development and scaling of the retrieval/search infrastructure underlying RAG systems (e.g. vector search clusters, embedding pipelines, capacity planning)
  • Build and maintain CI/CD pipelines supporting the build, test, and deployment of agentic AI systems.
  • 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 6+ 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, including hands-on experience with containerized deployments
  • 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
  • Experience designing evaluation frameworks for non-deterministic/agentic AI systems
  • 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
$180,400-$225,500 USD
Denver, CO Salary Range
$165,600-$207,000 USD
Charlotte, NC Salary Range
$150,400-$188,000 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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