This is a Fully Remote Job
About Our Client:
This organization operates in the health care innovation industry, focusing on developing advanced technology solutions to improve health outcomes and optimize health systems. It addresses challenges in health care delivery by leveraging data analytics, artificial intelligence, and cybersecurity. The enterprise AI team specializes in AI and machine learning engineering targeted at health care applications across multiple business units, creating scalable solutions that impact the health care journey.
About the Opportunity:
The SENIOR AI/ML APPLIED SCIENTIST plays a critical role in advancing AI-driven health care solutions. This position is responsible for applying sophisticated statistical and predictive modeling techniques, including Agentic AI, to enhance health care and digital experiences. The role contributes to the organization by researching innovative AI approaches, ensuring compliance with responsible AI standards, and collaborating with engineering teams to implement robust AI/ML solutions.
The position supports development and dissemination of knowledge through documentation, patents, and scientific publications.
Responsibilities:
Apply advanced statistical, predictive modeling, and Agentic AI techniques to optimize health care and digital experiences
Collaborate with the Responsible Use of AI team to ensure compliance with policies and standards
Research and implement innovative methods for Agentic AI development and evaluation
Develop code, documentation, patents, and publish findings in scientific forums
Work with engineering teams to establish robust data pipelines and MLOps procedures
Stay current with emerging technologies and academic literature
Requirements:
PhD in Statistics, Mathematics, Computer Science, or related field
Minimum of 3 years experience in AI/ML, including LLM and NLP
Proficiency in AI/ML engineering development using Python
Expertise in Large Language Models and Transformer Architectures with experience in prompt engineering, evaluation, and optimization
Experience with LLM frameworks or NLP techniques such as text embedding and classification
Pay Range and Compensation Package:
Salary range from $91,700 to $163,700 annually based on full-time employment
Benefits & Perks:
401(k) retirement plan
Equal Opportunity Statement:
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.