Product Engineer - AI/ML

Stanford Health Care; California; Hybride; USD 112 000 - 149 000; Plein temps

Résumé du poste

Stanford Health Care is seeking a Product Engineer – AI/ML to bridge strategy, hands-on software development, and applied AI delivery. You will work directly with clinical and operational teams to uncover root challenges, prototype AI-driven solutions, and drive end-to-end execution from concept to enterprise deployment.

You will write production-capable code, configure model workflows (RAG and foundation APIs), and collaborate with Data Scientists and Core Platform Engineering to deliver

Qualifications

• Bachelor’s degree or higher in a quantitative field or equivalent practical experience.
• Healthcare/health tech experience is valued in regulated environments.
• Strong communication, problem-solving, and analytical abilities are essential.

Responsabilités

• Partner with clinical and operational teams to identify root causes and desired outcomes.
• Design and iteratively build prototypes using Python, APIs, LLM orchestration, and retrieval systems.
• Evaluate bottlenecks to choose automation, rule-based, or AI-based approaches.
• Balance tradeoffs between model accuracy, latency, maintainability, and costs.
• Integrate prototypes with health system data stores and enterprise APIs.
• Collaborate with Data Science to pass solutions through evaluation harnesses.
• Contribute to test suites to measure and mitigate hallucinations and inaccuracies.
• Ensure compliance with HIPAA and institutional AI governance standards.
• Work with Data and Software Engineers to transition prototypes to enterprise platforms.

Connaissances

Communication

Healthcare informatics

Project management

Python

SQL

REST APIs

RAG

Vector databases

AI orchestration

Foundation models

Formation

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field

Master's degree preferred

Outils

Python

SQL

REST APIs

RAG

Vector databases

AI orchestration

Foundation models

Description du poste

1.0 FTE Full time Day - 08 Hour R2656602 Hybrid 108480039 TDS Data Science Innovation Technology & Digital Solutions PALO ALTO, 1830 Embarcadero, California

Day - 08 Hour (United States of America)

This is a Stanford Health Care job.

Brief Overview

The Product Engineer – AI/ML bridges technical strategy, hands‑on software development, and applied AI delivery. Operating in a forward‑deployed capacity, this role works directly with operational and clinical stakeholders to uncover root challenges, prototype solutions, and build high‑value AI capabilities.

Unlike traditional product or project management roles focused solely on static specifications, the Product Engineer – AI/ML maintains end‑to‑end execution ownership—writing production‑capable code, configuring AI model workflows (such as RAG and foundation APIs), and driving initial 0→1 implementation. Working alongside Data Scientists and Core Platform Engineering this role ensures AI solutions deliver measurable impact.

Locations

Stanford Health Care

What You Will Do

• Partner directly with operational and clinical teams to probe and identify root‑cause challenges rather than passively receiving feature requests.
• Design, build, and iterate on working prototypes using programming languages such as Python, modern APIs, LLM orchestration frameworks, and retrieval systems.
• Evaluate operational bottlenecks to determine whether simple automation, rule‑based logic, or generative AI models represent the best technical approach.
• Balance technical tradeoffs across model accuracy, execution latency, maintainability, and operational inference costs.
• Integrate prototypes with health system data stores, enterprise APIs, and operational workflow tools.
• Collaborate with Data Science teammates to pass solutions through formal evaluation harnesses prior to enterprise deployment.
• Participate in constructing test suites to measure and mitigate model hallucinations, errors of omission, and factual inaccuracies.
• Ensure alignment with healthcare data privacy policies, HIPAA regulations, and institutional AI governance standards.
• Partner with Data and Software Engineers to transition validated prototypes to enterprise‑grade platforms.

Education Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related quantitative field (or equivalent practical experience). Master’s degree preferred.

Experience Qualifications

• 3–5+ years of progressive experience in data science, software engineering, applied AI engineering, or technical product development.
• Experience working in healthcare, health tech, or complex regulated enterprise environments.

Required Knowledge, Skills And Abilities

• Excellent communication, interpersonal, problem‑solving, and analytical skills.
• Knowledge and understanding of healthcare informatics related technologies and standards.
• Proven ability to manage complex projects with multiple stakeholders and competing priorities.

Preferred Knowledge, Skills And Abilities

• Proficiency in Python and SQL; experience working with REST APIs, web services, and modern development workflows.
• Hands‑on experience with foundation model APIs, Retrieval‑Augmented Generation (RAG), vector databases, and AI orchestration frameworks.
• Familiarity with enterprise data structures, cloud data platforms, and data privacy governance.
• Strong ability to analyze operational workflows, probe for root causes, and translate business needs into technical solutions.

Physical Demands and Work Conditions

Blood Borne Pathogens

• Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks

These Principles Apply To ALL Employees

• Know Me: Anticipate my needs and status to deliver effective care
• Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
• Coordinate for Me: Own the complexity of my care through coordination

SHC Commitment to Providing an Exceptional Patient & Family Experience

Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient‑centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.

• Know Me: Anticipate my needs and status to deliver effective care
• Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
• Coordinate for Me: Own the complexity of my care through coordination

Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non‑discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.

Base Pay Scale: Generally starting at $81.59 - $108.12 per hour

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.