Senior Machine Learning Engineer

Care Access is seeking a Senior Machine Learning Engineer to build cutting-edge AI products that directly impact how new therapies reach patients. The role is fully remote within the United States, requires 100% remote work, involves less than 10% travel, and the company is unable to sponsor work visas at this time.

Responsibilities

Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes; Develop advanced ML models and LLM-powered agents for use cases like patient recruitment, enrollment forecasting, and study feasibility; Expand the AI knowledge base architecture to support these solutions; Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale; Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into the platform; Continuously learn and innovate in ML/AI and turn promising prototypes into production features

Requirements

Strong programming and data skills, including proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), clean and efficient coding practices, working with large datasets, writing complex SQL queries, and modern data processing frameworks; Cloud and MLOps expertise, including experience with modern cloud infrastructure (AWS or similar), containerization tools like Docker, and MLOps practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift; Deep ML/AI knowledge, including machine learning fundamentals (model selection, training, evaluation, feature engineering), statistical modeling, and familiarity with NLP and large language models; Analytical problem-solving skills to break down complex problems and devise effective, efficient ML solutions; Mission-driven and business-focused mindset; Minimum of 5+ years of hands-on experience building and deploying machine learning solutions in production at scale; Proven ability to implement end-to-end ML pipelines from data ingestion to model serving

Nice to have

Experience with functional programming (e.g. Clojure)

Benefits

Paid Time Off (PTO) and Company Paid Holidays; 100% Employer paid medical, dental, and vision insurance plan options; Health Savings Account and Flexible Spending Accounts; Bi-weekly HSA employer contribution; Company paid Short-Term Disability and Long-Term Disability; 401(k) Retirement Plan with Company Match