ML/Backend Research Engineer

We are developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. We value in-person teamwork and believe the best ideas happen together.

Requirements

• Develop and maintain scalable backend systems to support high-performance AI applications in healthcare.
• Collaborate with cross-functional teams to design and build efficient data pipelines for large-scale healthcare datasets.
• Build and manage APIs and microservices that enable smooth data retrieval, processing, and interaction with AI models.
• Monitor and improve backend systems to optimize performance, reliability, and uptime.
• Work closely with product managers to understand healthcare requirements and help transform them into technical solutions.
• Develop and optimize backend infrastructure supporting data ingestion, feature extraction, and tagging workflows.
• Implement tag management and metadata systems to streamline dataset organization and retrieval.
• Contribute to end-to-end ML workflows, integrating data preparation, training, evaluation, and deployment into reproducible pipelines.