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Full Stack Applications Engineer

Seattle,WA

1343 Full Stack Applications Engineer jobs in Seattle,WA

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Staff Software Engineer, ML Feature Store

Snap

Seattle, WA 98194

$229,000-$343,000/yr
New, Posted 1 day ago
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Material Handler - Part Time (Warehouse like)

FedEx

Seattle, WA 98158

$22.15/hr
OnsiteHealth Insurance

  • Able to lift 50 lbs. without assistance from the ground to chest level
  • Able to maneuver packages of any weight above 50 lbs. using appropriate equipment and/or assistance from another person
  • Able to walk and stand for designated work hours
  • Able to bend and squat for designated work hours
  • Able to maneuver packages above shoulder level
  • Ability to maneuver packages in enclosed spaces and stack packages above one's head if required at location
  • Able to work in all weather conditions if required at work location
  • Able to climb stairs and ladders if required at work location
  • Able to successfully complete all basic and re-currency training
  • The ability to communicate both timely and effectively, in a noisy operations environment, is required
  • Non-covered safety sensitive position, a drug screen is required
  • Employee must possess a valid driver's license
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Delivery Associate

UPS

Redmond, WA 98052

$23/hr
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software engineer sr - ST; Seattle, WA

Starbucks

Seattle, WA 98127

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Engineering Technician V

General Dynamics Information Technology

Seattle, WA 98115

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 8 + years of related experience
  • Education: Associates of Arts/Associates of Science.
  • US Citizenship Required: Yes
  • Location: Customer Site.
  • Security Clearance Level: None.
  • Clearance Level Must Currently Possess: None
  • Clearance Level Must Be Able to Obtain: None
  • Public Trust/Other Required: None
  • Job Family: SCA
  • Blueprints, Drawing, Shipbuilding
  • Experience: 8 + years of related experience
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Staff Software Engineer, Display and Video 360 Team

Google

Kirkland, WA 98033

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Combat Engineer

US ARMY

Vancouver, WA 98682

Requires TravelEducation AssistanceHealth InsurancePaid Time Off

  • Attend a 14-week paid training program to gain skills and certifications in construction, engineering, demolition, and heavy equipment operations.
  • Advanced certifications require additional full funded training programs.
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Mechanical Assembler II

Collins Aerospace

Everett, WA 98204

~ 31 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • U.S. Person
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HW Engineering Manager, Leo Hardware Development

Amazon Kuiper Manufacturing Enterprises LLC

Redmond, WA 98052

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Manager, AI Engineer

KPMG

Seattle, WA 98115

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
  • Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
  • Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
  • Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
  • Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
  • Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
  • Knowledge of AI security, data privacy, governance, and ethical AI frameworks
  • Strong problem-solving skills with the ability to translate complex technical concepts for executives
  • Excellent verbal and written communication skills, with experience creating client-facing deliverables
  • Willingness and ability to travel
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
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