Description:

The Lead Software Engineer will lead and build new product lines in healthcare using reinforcement learning and large language models (LLMs).
This role involves extending and maintaining existing web applications for clinical users and patients.
The engineer will integrate with third-party APIs, including national electronic medical record (EMR) systems and e-prescribing services.
Responsibilities include iterating on proprietary algorithms to enhance patient care using graph traversal and machine learning (ML).
The position requires architecting and deploying scalable ETL pipelines with clean data tokenization.
The engineer will contribute to the deployment of deep learning training infrastructure.
Direct interaction with customers to understand their pain points and rapidly deliver solutions is expected.
The engineer will ship mission-critical features that directly save lives within the first few weeks of employment.
Participation in hiring and scaling a high-performance engineering team is also a key responsibility.
The role involves leading and owning projects autonomously within a flat structure of elite engineers.

Requirements:

Candidates must have experience in leading and building product lines in healthcare using reinforcement learning and LLMs.
Proficiency in extending and maintaining web applications for clinical users and patients is required.
Experience integrating with third-party APIs, including national EMR systems and e-prescribing services, is necessary.
Candidates should have a strong background in iterating on proprietary algorithms to enhance patient care using graph traversal and ML.
The role requires expertise in architecting and deploying scalable ETL pipelines with clean data tokenization.
Experience in contributing to the deployment of deep learning training infrastructure is essential.
Candidates must be able to work directly with customers to understand pain points and deliver solutions rapidly.
A proven track record of shipping mission-critical features that save lives is required.
Experience in hiring and scaling high-performance engineering teams is necessary.
Candidates should be comfortable leading and owning projects autonomously within a flat structure.

Joining this team allows individuals to save lives through AI-enabled healthcare infrastructure.
The company offers a flat organization of elite individual contributors, minimizing bureaucracy and hierarchy.
Employees will be part of a global team with an async-first culture, including offsite events in Costa Rica and Tuscany.
The position provides access to one of the largest labeled medical datasets and an ambitious machine learning roadmap.