3 ai research engineer jobs at 3 companies in Riverview, FL

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Senior Advanced AI Research Engineer
Mountain View or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or New York City or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Scottsdale or San Francisco or Morristown 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 Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
OnsiteFull Time
Accenture
AccentureNYSE: ACN: Global provider of management consulting and technology services.
5+ YOEBachelor's degree or equivalent experience, 5+ years with Python and/or Node.js/TypeScript, and 5+ years with AI/ML systems. Research-to-production experience preferred; Kubernetes, databases, tracing, and async Python are bonuses.
Python, Node.js, TypeScript, FastAPI, asyncio, Kubernetes, OpenTelemetry, CI
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Lead Vulnerability Research Engineer, IT Security
Saint Petersburg, Florida, United States
HybridFull Time
Raymond James
Raymond JamesNew York Stock Exchange: RJF: Provides wealth management, investment banking, and retail banking services.
5+ YOEBachelor's in a relevant field and 5+ years experience with 3+ years vulnerability research; expert vulnerability discovery/validation, AI-assisted security workflows, cloud and tooling integration, and strong software engineering skills.
Python, PowerShell, JavaScript, TypeScript, Go, Java, C#, Shell, REST, GraphQL, GitHub, GitLab, Azure DevOps, Jenkins, Jira, OpenAI GPT models, Anthropic Claude models, OpenAI Responses API, OpenAI Agents SDK, Anthropic API, Kubernetes, Microsoft Azure, Amazon Web Services, Google Cloud Platform
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Assistant/Associate Professor - Decision Intelligence Specialist
Hillsborough County, Florida, United States
OnsiteFull Time
UF Health
UF Health: Academic health system providing clinical care, education, and research.
Doctorate required in engineering, computer science, horticultural sciences or related; experience with AI and AI deployment in agricultural systems; strong communication and grant-funding track record; ability to collaborate in interdisciplinary teams.
Python, C++, PyTorch, TensorFlow