Location: Boston, MA - Hybrid   |   Full-Time   |   $152,000 - $182,000
Python scikit-learn PyTorch XGBoost LLMs AWS Postgres Redshift AI ML Data Science Model Building AI Engineer

About Connie Health: Connie Health is a fast-growing healthtech startup based in Boston, MA, with a hybrid work model. Our mission is to empower older Americans to make confident, worry-free Medicare plan decisions by combining an AI-driven technology with local Medicare experts.

About The Role: We are seeking a Lead AI/ML Engineer to join our team in a player-coach capacity. You will lead a small team of AI/ML and software engineers to build our top-of-funnel systems, combining traditional AI/ML techniques with modern approaches to solve complex healthcare problems.

Key Responsibilities:

  • Lead the development of AI/ML models for healthcare decision-making
  • Design and implement machine learning solutions for customer matching and recommendation
  • Mentor junior AI/ML engineers and foster a collaborative team environment
  • Collaborate with product and backend teams to integrate AI capabilities into our platform
  • Stay at the forefront of AI/ML advancements and apply them to healthcare challenges

Required Skills & Qualifications:

  • Proven experience leading AI/ML projects in a professional setting
  • Expertise in Python and AI/ML frameworks (scikit-learn, PyTorch, XGBoost)
  • Experience with open-source LLMs and their applications
  • Strong understanding of statistical modeling and machine learning principles
  • Excellent leadership and mentorship skills
  • Experience with cloud platforms (AWS) and database technologies (Postgres, Redshift)

Compensation: The estimated pay range for this role is $152,000 - $182,000, plus equity.

Post Date: August 20, 2025