9 ai evaluation engineer jobs at 7 companies in Chula Vista, CA
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AI Engineer
San Diego, California, United States
$150k-$225k/yrOnsiteFull Time
Sony Interactive EntertainmentTokyo Stock Exchange: 6758: Develops and publishes PlayStation gaming hardware, software, and services.
2+ YOEBachelor's degree or equivalent practical experience, 2+ years of software engineering experience, applied AI experience, Python or Java, AWS, retrieval systems, AI orchestration, evaluation, and strong communication skills.
Albany or Arlington or Atlanta or Austin or Beaverton or Bentonville or Boston or Carmel or Charlotte or Chicago or Cincinnati or Cleveland or Columbus or Culver City or Denver or Des Moines or Detroit or Hartford or Houston or Irving or Kirkland or Miami or Milwaukee or Minneapolis or Morristown or Mountain View or Nashville or New York City or Oklahoma City or Overland Park or Philadelphia or Pittsburgh or Raleigh or Redmond or Sacramento or San Diego or San Francisco or Scottsdale or Seattle or St. Louis or St. Petersburg or Walnut Creek or United States
$63k-$219k/yrOnsiteFull Time
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
5+ YOERequires 5+ years in software engineering, AI/ML, or enterprise technology; experience with retrieval systems, agentic AI, MCP, evaluation frameworks, and a bachelor's degree or equivalent.
San Francisco or Los Angeles or Washington or San Diego or Seattle or London
$150k-$170k/yrHybridFull Time
CHAOS Industries: Develops advanced radar and sensing systems for modern defense.
2+ YOEBachelor's or master's degree in a technical field, 2+ years of software development, strong Python, production systems, AI/ML integration, model evaluation, and familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment.
Lead AI/ML Engineer (GenAI & Agentic Systems)-iCloud
San Diego, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Technical leadership in GenAI/agentic systems for large-scale cloud infrastructure; experience with LLMs, RAG, automation, evaluation/orchestration frameworks, and cross-team collaboration.
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
Design, develop, and deploy generative AI solutions including LLM fine-tuning, RAG, evaluation frameworks, agentic workflows; Bachelor's in related field required.
Nexstrom: Developing 2D semiconductor platforms for next-generation logic and memory.
5+ YOEBachelor's or Master's in CS/engineering,5+ years building production software with deep experience in LLM/agent systems, strong Python and engineering practices, retrieval and evaluation experience.
San Francisco or Los Angeles or Washington or San Diego or Seattle or London
$150k-$170k/yrHybridFull Time
CHAOS Industries: Develops advanced radar and sensing systems for modern defense.
2+ YOEBS/MS in a technical field, 2+ years of software development, strong Python, production systems, AI/ML integration, model evaluation, and familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment.
Content Automation and GenAI - Consulting and Delivery Manager
New York City or Milwaukee or Herndon or Dallas or Columbus or Kirkland or Irvine or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or Arlington or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or Morristown or San Francisco or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$266k/yrOnsiteFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
7+ YOE7+ years client-facing consulting or digital transformation experience; hands-on experience evaluating/applying content automation or GenAI tools and delivering GenAI POCs; strong understanding of LLM concepts, prompt engineering, safety/responsible AI, content operations, and team leadership.