Stanford Medicine

Product Engineer - AI/ML

Stanford Medicine
Apply
3 days ago
Palo Alto, CA, USAMid Level / Senior

Responsibilities

  • Partner with operational and clinical teams to identify root-cause challenges and translate them into technical solutions.
  • Design, build, and iterate on prototypes using Python, modern APIs, LLM orchestration frameworks, and retrieval systems.
  • Determine whether automation, rule-based logic, or generative AI is the appropriate solution for operational bottlenecks.
  • Balance model accuracy, latency, maintainability, and operational inference costs.
  • Integrate prototypes with health system data stores, enterprise APIs, and workflow tools.
  • Collaborate with Data Science teammates on formal evaluation harnesses before enterprise deployment.
  • Construct test suites to measure and mitigate hallucinations, omissions, errors, and factual inaccuracies.
  • Ensure compliance with healthcare privacy policies, HIPAA regulations, and institutional AI governance standards.
  • Partner with Data and Software Engineers to transition validated prototypes to enterprise-grade platforms.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related quantitative field, or equivalent practical experience.
  • Master's degree preferred.
  • 3–5+ years of progressive experience in data science, software engineering, applied AI engineering, or technical product development.
  • Experience in healthcare, health technology, or complex regulated enterprise environments.
  • Knowledge of healthcare informatics technologies and standards.
  • Proven ability to manage complex projects involving multiple stakeholders and competing priorities.
  • Proficiency in Python and SQL, with experience using REST APIs, web services, and modern development workflows.
  • Hands-on experience with foundation model APIs, Retrieval-Augmented Generation, vector databases, and AI orchestration frameworks.
  • Familiarity with enterprise data structures, cloud data platforms, and data privacy governance.
  • Strong communication, interpersonal, analytical, problem-solving, and root-cause analysis skills.

Benefits

  • Day shift with an 08-hour schedule in the United States of America.
  • Stanford Health Care employment with a stated base pay scale of $81.59–$108.12 per hour.
  • Equal opportunity employer committed to diversity and nondiscrimination.

Tech Stack

Categories

AI ApplicationsForward DeployedProduct Engineering
Contact me