Senior Machine Learning Engineer

care access is working to make the future of health better for all.
with hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care.we are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need,
and contribute to the medical breakthroughs of tomorrow.

with programs like future of medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and difference makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all.

by joining our team as a
senior machine learning engineer
, you will play a pivotal role in building cutting-edge ai products that directly impact how new therapies reach patients. We’re looking for an experienced ml engineer who is passionate about turning advanced ai research into scalable, real-world solutions. You thrive on solving complex problems, pay close attention to detail, and consistently seek to automate and improve processes. You shine as a collaborator and excel as an individual contributor, with the courage to tackle challenging problems and the humility to learn and adapt.

Your initiative and discipline allow you to thrive while working remotely, and your high degree of empathy and communication skills makes you the kind of colleague everyone wants on your team. As an integral member of our fast-growing organization, you will leverage ai to transform clinical research and improve patient care.

• build and deploy ai-driven products that accelerate clinical trials and improve patient outcomes. Your work will deliver scalable machine learning solutions to complex, real-world problems in clinical research.
• develop advanced ml models and llm-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You’ll also help expand our ai knowledge base architecture to support these innovative solutions.
• leverage modern cloud tools and mlops best practices to build robust data pipelines and deploy models ’ll use technologies like python (and clojure), aws services (athena, bedrock, sagemaker, etc.), dbt, prefect, and ci/cd automation with monitoring to ensure models are reliable and up-to-date.
• collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate ai capabilities into our platform (including care access products). Ensure these ai solutions seamlessly support and enhance clinical research workflows for end-users.
• continuously learn and innovate. Stay up-to-date with the latest developments in ml/ai (llms, nlp, probabilistic modeling, etc.) and proactively bring new ideas to the team. You’ll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission forward.

• strong programming and data skills: proficiency in python and its ml ecosystem (pandas, scikit-learn, tensor flow/pytorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex sql queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not required.
• cloud and mlops expertise: experience with modern cloud infrastructure (aws or similar) and…