Senior Machine Learning Engineer

Overview

Senior Machine Learning Engineer to build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes, working remotely within the United States.

What you'll do

• Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
• Deliver scalable machine learning solutions to complex, real-world problems in clinical research.
• Develop advanced ML models and LLM-powered agents for use cases such as patient recruitment, enrollment forecasting, and study feasibility.
• Help 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.
• Use technologies such as Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring.
• Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into the platform, including Care Access products.
• Ensure AI solutions seamlessly support and enhance clinical research workflows for end-users.
• Stay up-to-date with developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and bring new ideas to the team.

What you'll need

• 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 for real-world applications.
• Strong programming and data skills: proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices.
• Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks.
• Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker.
• Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift.
• Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling.
• Familiarity with NLP and large language models.
• Ability to break down complex problems and devise effective, efficient ML solutions, balancing pragmatic engineering with scientific rigor.
• Mission-driven and business-focused mindset, with empathy for patients, clinicians, and researchers, and a drive to build unbiased AI solutions.

Nice to have

• Experience with functional programming (e.g. Clojure).

Details

• Location: Remote within the United States; 100% of work performed in a remote office environment.
• Travel: less than 10% travel requirement; occasional planned travel may be required.
• Physical demands: ability to use keyboards and other computer equipment.
• Expected pay range: $140,000 - $190,000 USD per year for full-time team members.
• Care Access is unable to sponsor work visas at this time.