at Counsel
Full TimeCounsel’s mission is to provide patients unlimited access to personalized, high-quality medical advice from real clinicians. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we are building an AI-first medical practice from the ground up that automates across the entire clinical stack, allowing our in-house clinicians to provide superhuman medical advice that is near-instant, highly personalized, and always available. We believe that collaborative care models that integrate clinicians and AI are the key to solving global healthcare access challenges.
Since our founding in 2023, we have formed partnerships with leading healthcare organizations and are on track to serve hundreds of thousands of patients on our platform within the next year. We have raised over $10M from top-tier VC firms and angel investors, positioning us strongly to pursue our ambitious mission for years to come.
Our founding team includes experienced clinical and technology experts who have held senior roles at Harvard Medical School, Massachusetts General Hospital, UCSF, the MIT Media Lab, NVIDIA, and Mount Sinai.
Join us as we build the future of AI in healthcare!
We are seeking a talented, driven, and fast-moving Senior AI Engineer to join us in defining the future of human + AI collaborative care models.
As our first AI Engineer, you will have significant responsibility and ownership over our AI infrastructure, model development, and future AI team.
Our culture is fast-paced and ambitious, and we aim for every team member to be exceptional. The ideal candidate would be able to work from our office in New York, but we are open to strong candidates who are remote.
Building robust model and prompt evaluation frameworks for medical LLMs
Improving our RAG pipeline to boost model performance and augment physician workflows
Scaling up data pipelines for health records, medical journals, and other sources of data
Improving our medical model performance on a variety of clinical tasks
Building AI features that scale up a physician’s quality and efficiency by orders of magnitude
Strong technical experience, ideally with 3+ years of AI experience at startups or fast-moving companies
Experience with MLOps and LLMOps, building AI infrastructure from 0 → 1
Familiarity with the most recent developments in ML and able to quickly run experiments and implement the latest papers.
You have experience in the domain of search, retrieval, or data aggregation for ML models
You have domain experience building ML models for healthcare-specific use cases
You have hands-on experience building from the ground up in fast-paced, high-growth environments, with experience at early-stage companies or through personal projects
You thrive on working alongside exceptional teammates and derive energy from collaborative environments
Impact: Be at the forefront of AI-augmented care delivery, tackling some of the most ambitious challenges in healthcare.
Growth: Professional development and leadership opportunities within a rapidly expanding tech-enabled care delivery organization.
Exposure: Gain hands-on experience in scaling a fast-growing healthcare technology company and directly interface with executives at the world’s leading healthcare organizations.
