Machine Learning Software Engineer developing LLMs for Healthcare

Cambridge, MA


Full Time

$150k - $180k

Are you passionate about the intersection of cutting-edge AI technology and healthcare? Do you dream of shaping the future of medical knowledge access? This AI startup led by one of the most successful founding teams in Boston, invites you to join their team and be part of a groundbreaking journey.
This flagship product harnesses the power of Large Language Models (LLMs) to empower healthcare providers with rapid access to the latest medical knowledge. By leveraging AI, they can enhance patient care and drive innovations in the healthcare sector.
  • Innovative Culture: Join a dynamic and forward-thinking team dedicated to pushing the boundaries of AI in healthcare.
  • High-Impact Work: Collaborate with major hospital clinics around the country, making a meaningful impact on the healthcare industry.
  • Talented Team: Work alongside CS graduates, many holding PhDs, from top schools across the nation.

Roles and Responsibilities: As a Machine Learning Software Engineer, you will:
  • Collaborate with cross-functional teams to develop and enhance the core AI-driven medical knowledge access system.
  • Contribute to the design, development, and optimization of cutting-edge AI algorithms.
  • Drive product innovation by identifying opportunities for improvement and delivering high-impact solutions.
  • Participate in the entire product development lifecycle, from ideation to deployment.
  • Bachelor's, Master's, or PhD in Computer Science or a related field.
  • Strong programming skills, with proficiency in languages such as Python, Java, or C++.
  • Passion for AI, machine learning, and natural language processing.
  • Previous experience in healthcare technology or related fields is a plus.
  • Excellent problem-solving and communication skills.

Shape the Future of Healthcare: If you're ready to make a significant impact on the healthcare industry and drive innovation with AI, we want to hear from you! Join the team of visionaries and contribute to a future where medical knowledge is readily available to those who need it most.

Posted by: Andrew Mederos