ML/Backend Research Engineer at Hippocratic AI

Palo Alto, California, United States

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial IntelligenceIndustries

Bachelor’s degree in Computer Science, Computer Engineering, or a related field. (Master's is preferred)
2-5+ 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 for distributed processing and model experimentation
Distributed computing with Spark, Hadoop, or similar
Familiarity with relational database systems and RESTful APIs
Basic understanding of cloud infrastructure (e.g. AWS, GCP)
Preferred
Exposure to AI/ML concepts or experience working with LLMs
Experience working in teams that handle sensitive or regulated data
Familiarity with gRPC, graphQL or similar
Experience with real-time audio
Exposure to DevOps concepts - CI/CD, deployment, terraform, build systems
Experience with data science

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