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Quantitative Research Engineer

Seattle,WA

1164 Quantitative Research Engineer jobs in Seattle,WA

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Nuclear Engineer

U.S. Navy

Clyde Hill, WA 98004

New, Posted 6 hours ago
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Director/Sr. Director, Forward Deployed Engineering

KPMG

Seattle, WA 98101

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Nuclear Engineer

U.S. Navy

Mill Creek, WA 98082

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Senior Technology Site Reliability Engineer

Cooley LLP

Seattle, WA 98101

New, Posted 13 hours ago
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Senior GNC Engineer

Anduril Industries

Seattle, WA 98154

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Environmental Science Officer

United States Army

Bellevue, WA 98006

New, Posted 6 hours ago
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Technical Lead, Forward Deployed Engineering

KPMG

Seattle, WA 98101

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Quality Assurance Manager

ABW Technologies

Seattle, WA 98108

Onsite

  • Minimum of 5 years' experience in a Quality Assurance or related engineering field.
  • Experience managing AS9100 and/or ISO 9001 Quality Management Systems.
  • Experience with internal and external quality audits.
  • Strong knowledge of AS9100 and ISO 9001 standards.
  • Understanding of quality tools and methodologies, including root cause analysis and corrective actions.
  • Knowledge of inspection methods, calibration systems, and quality documentation.
  • Ability to interpret engineering drawings, specifications, and customer requirements.
  • Strong organizational, analytical, and communication skills.
  • Proficiency with Microsoft Office
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Microbiologist

United States Army

Tacoma, WA 98444

New, Posted 3 hours ago
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Principal Product Manager - Tech, Personalization and Monetization, Prime Video Personalization & Discovery

Amazon.com LLC

Seattle, WA 98127

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 8+ years of technical product or program management experience
  • Experience with feature delivery and tradeoffs of a product
  • 6+ years of end to end product delivery experience
  • Experience owning/driving roadmap strategy and definition
  • Experience leading engineering discussions around technology decisions and strategy related to a product
  • Bachelor's degree
  • Experience managing and deploying ML products
  • Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
  • Background in an applied science, engineering, or quantitative field, with a solid understanding of the model lifecycle, data readiness, and model evaluation frameworks.
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