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Ai Research Scientist Iv

California

2766 Ai Research Scientist Iv jobs in California

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AI-Native Founder’s Associate

Aonic

San Francisco, CA 94111

$140,000/yr
OnsiteUrgently Hiring

  • Degree from a top-tier university in engineering, science, math, business, or a related field.
  • Candidates with a business background must have taught themselves at least basic coding and demonstrate technical fluency.
  • AI-native mindset, with hands-on experience using AI tools, automation platforms, and low-code solutions to drive real outcomes.
  • Strong analytical and problem-solving ability, with comfort working across operations, growth, and finance.
  • Genuine interest in solving real-world business problems, including those involving physical operations such as production, supply chain, warehousing, delivery, and customer experience.
  • Extremely hungry and ambitious, actively seeking responsibility and steep growth.
  • Strong work ethic and intensity, comfortable operating in an environment that works 8–7 on Monday to Thursday and 8-5 on Fridays.
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Software Engineer, GenAI Frameworks

Meta

Menlo Park, CA 94025

$121,992/yr
AI Native Software Engineering Senior Manager/Assoc Director

Accenture

Mountain View, CA 94039

New, Posted 18 hours ago
GenAI Presales Solution Architect Assoc Director

Accenture

San Diego, CA 92108

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Wireless Science Manager, Device Connectivity

Amazon.com Services LLC

Sunnyvale, CA 94087

Urgently Hiring
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AI Systems Engineer, Hardware Architecture

Meta

Sacramento, CA 94278

$208,000/yr
Sr Staff ML Engineer - Applied AI

Uber

San Francisco, CA 94103

$267,000/yr
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AI Practice Leader

Capgemini

San Francisco, CA 94103

Flexible Schedule
Senior Data & AI Analyst, Finance Systems

AeroVironment

San Diego, CA 92108

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Wireless Science Manager, Device Connectivity

Amazon.com Services LLC

Sunnyvale, CA 94087

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 3+ years of scientists or machine learning engineers management experience
  • Knowledge of machine learning approaches and algorithms
  • PhD, or Master's degree
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
  • Experience programming in Java, C++, Python or related language
  • Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet
  • Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
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