ML/Backend Research Engineer
ML/Backend Research Engineer
Hippocratic AI
Hippocratic AI is seeking a ML/Backend Research Engineer to develop scalable backend systems for healthcare-focused AI applications. The role involves collaboration with interdisciplinary teams to build voice agents and manage APIs, contributing to the development of a safety-focused Large Language Model (LLM) for healthcare.
Qualification
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field (Master's preferred).
- 5+ years of experience in backend development using programming languages like Python, Golang, or similar.
- Experience building and maintaining multi-modal data pipelines (speech, vision, and text) using Ray or Apache Airflow.
- Strong understanding of API development and microservices architecture.
- Experience with cloud platforms and containerization technologies.
Responsibility
- Develop and maintain scalable backend systems to support high-performance AI applications in healthcare.
- Collaborate with cross-functional teams, including data scientists and ML engineers, 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.
