Capital Rx

Capital Rx provides comprehensive health benefit management and transparent pharmacy benefit management solutions, integrating various healthcare services to support millions of plan members across diverse sectors.

Health Care Providers & Services

Health Care

251-1K (450)

Founded 2017

9 open positions

Links

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Senior Machine Learning Engineer

2 months ago

United States

Full-time

Senior

Machine Learning Engineer

Software Development

AWS Azure Feature Engineering HIPAA LLM Machine Learning Microservices NLP Python PyTorch

Apply Now

Capital Rx

Health Care Providers & Services

251-1K

Founded 2017

View All Jobs 9

Description

Design, develop, and productionize machine learning solutions for document understanding, search and Q&A, GenAI, and virtual agents.
Develop and maintain Python backend services for AI-driven applications.
Design APIs to integrate AI models and services into product systems.
Collaborate with product managers, engineers, and stakeholders as a machine learning subject matter expert.
Own the full ML lifecycle from problem definition through data exploration, feature engineering, training, validation, and deployment.
Participate in code reviews, testing, and quality assurance.
Troubleshoot issues related to AI models, integrations, deployments, and backend services.
Implement telemetry, A/B testing, and automated validation to measure model effectiveness and robustness.
Document development processes, system designs, and architectural decisions.
Ensure healthcare data security and HIPAA compliance.

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
4+ years of industry experience with ML solution development and production deployment.
Strong grasp of object-oriented programming, design patterns, efficient algorithms, and quality software development.
Strong proficiency in Python and familiarity with ML libraries such as PyTorch.
Experience with statistical machine learning and AI in NLP, speech, RAG, virtual agents, and/or document processing.
Familiarity with cloud platforms such as AWS or Azure.
Experience with GenAI services such as OpenAI GPT, Anthropic Claude, or Google Gemma.
Experience developing and fine-tuning prompts for GenAI services.
Experience working with microservices or API-based application architectures.
Strong problem-solving, attention to detail, and logical thinking skills.
Ability to work collaboratively in a fast-paced startup environment.
Good written communication skills for remote collaboration.

Benefits

Salary range of $161,600–$202,000 USD in New York, NY.
Salary range of $148,400–$185,500 USD in Denver, CO.
Salary range of $134,800–$168,500 USD in Charlotte, NC.
Equal employment opportunity and anti-discrimination protections.
Privacy practices and data retention transparency for applicants.

Interested in this position?

Apply directly on the company website

Apply Now

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