
Staff Applied AI/ML Scientist
About this role
Role Overview
Judi Health seeks a Staff Applied AI/ML Scientist to help infuse cutting-edge artificial intelligence and generative technologies into healthcare automation products. This hybrid role operates out of offices in New York, Denver, and Charlotte, requiring three days onsite per week. The professional in this position will design and improve multimodal large language models to increase operational productivity and deliver powerful user experiences.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Judi Health is a high-growth health technology firm modernizing benefit administration for unions, employers, health plans, and government entities through its Unified Claims Processing architecture. The organization replaces legacy systems with secure, transparent platforms that combine pharmacy and medical benefit management. By leveraging advanced artificial intelligence, the enterprise helps clients achieve exceptional operational efficiency while powering benefits plans for millions of Americans.
How to Apply
Candidates should visit the official Judi Health careers page to submit an application and review further submission details.
Skills and tech stack
Questions candidates ask
What is the work arrangement for this role?
This position follows a hybrid schedule requiring three days in the office, with available workspaces located in New York, Denver, and Charlotte.
How many years of experience are required?
Candidates must have a minimum of 8 years of industry experience with a strong focus on applied artificial intelligence and machine learning.
What educational background is expected?
An undergraduate, Master's, or higher degree in Computer Science, Machine Learning, or a related quantitative field is required, and a PhD is preferred.
What are the salary ranges based on location?
The annual salary ranges are $189,600 to $237,000 for New York, $174,000 to $217,500 for Denver, and $158,000 to $197,500 for Charlotte.
What specific technical proficiencies are needed?
Applicants need strong proficiency in Python, experience with PyTorch, and familiarity with open-source large language model platforms and cloud machine learning tools.