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Amazon From Home

Lakewood,WA

1903 Amazon From Home jobs in Lakewood,WA

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DoorDash - Lakewood, WA

Grocery Delivery Driver
OnsiteFlexible Schedule
New, Posted 22 hours ago
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Work From Home Sales Coordinator

HMG Careers

Lakewood, WA

RemoteChat NowHealth Insurance

First-year earnings are estimated at $67,000–$70,00, based on individual sales performance.
Commission and bonus compensation
Renewal commissions that can create long-term income
Stock-option opportunities
You will be provided with your leads, training, technology, and ongoing support.
Union membership, protections, and positions.
Leads provided
No traditional cold calling
Medical, dental, and prescription benefits
Comprehensive training and licensing support
We will help you understand the licensing process and identify an appropriate solution.
Flexible hours - not just 8-5.
Have basic computer skills
Are comfortable using Zoom
You must hold or be willing to obtain the life-insurance license required in your province or state.
Applicants must be legally authorized to work in Canada or the United States.
Have sales, customer-service, hospitality, recruiting, or other people-facing experience. This is helpful but not required.
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Pre-Construction Manager, AMER DCCD Pre-Construction

Amazon Data Services

Seattle, WA 98127

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

Your Amazon package will include sign-on payments and restricted stock units (RSUs).
$111,300.00 - 186,100.00 USD annually
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Mentorship and other career-advancing resources here
US Citizenship required.
Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
Experience carrying new design concepts through exploration, development, and into deployment or mass production
Experience in MS Excel, Word, and Windows Operating Systems
Experience with power management and power monitoring systems
5+ years of project management in data centers or comparable critical infrastructure experience
Knowledge of critical data center equipment
Knowledge of engineering documentation, electrical diagrams and standard operating procedures
Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA
Experience in project management in data centers or comparable critical infrastructure
Experience in Data Center Engineering Operations, with a deep understanding of electrical and mechanical data center infrastructure
Experience reading and interpreting construction specifications and drawings for all domains
New, Posted 14 hours ago
Recommended
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Sales Representative (Remote, Entry Level with Trainings)

Max Spencer Company

Seattle, WA 98127

RemoteNo ExperienceFlexible Schedule
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Sr. PMT-ES, Amazon Bedrock

Amazon Development Center U.S.

Seattle, WA 98127

New, Posted 14 hours ago
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Field Service Technician (E&I Tech)

CTI - Gas Detection Specialists

Seattle, WA 98127

$30-$35/hr
New, Posted 14 hours ago
Recommended
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Remote Customer Service Support- Training Provided | Flexible Schedule

Miranda Martin Agency DOA

Tacoma, WA 98417

RemoteFlexible Schedule
New, Posted 14 hours ago
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Remote Sales Agent

The Weiner Group

Tacoma, WA 98417

Remote
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Student Support Caregiver - Relocation to Hershey, PA Required

Milton Hershey School

Lakewood, WA 98496

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Principal Business Developer, Strategic Vendor Acceleration

Amazon.com Services LLC - A57

Seattle, WA 98127

~ 50 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Sign-on payments and restricted stock units (RSUs)
171,000.00 - 231,300.00 USD annually
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
7+ years of developing, negotiating and executing business agreements experience
7+ years of business development, partnership management, or sourcing new business experience
7+ years of professional or military experience
Experience writing technical articles, speaking at technology conferences, and contributing to open source
Experience developing and executing on GTM strategies that are large in scope
Bachelor's degree
Experience creating and implementing large-scale programs
MBA degree or above in related fields
Experience in consumer goods, retail, or e-commerce industries
Experience with global supply chain optimization, cost-to-serve reduction, or operational efficiency programs
Experience with Joint Business Planning frameworks and vendor negotiation at a global scale
Proficiency working with globally diverse teams across locales, cultures, and time zones

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Applied Scientist, Seller Partner Trust and Store Integrity Science - Global Risk Intelligence and Prevention

Amazon.com Services LLC

Seattle, WA 98127

~ 50 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Your Amazon package will include sign-on payments and restricted stock units (RSUs).
142,800.00 - 193,200.00 USD annually
Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in development in the last 3 years
Knowledge of deep learning, machine learning and statistics
Track record of translating ambiguous business problems into well-defined ML solutions
Experience in professional software development
PhD
Experience with adversarial ML, fraud detection, or abuse prevention systems
Familiarity with graph-based learning methods for detecting coordinated networks
Experience modeling temporal and sequential data (e.g., account behavior over time, event sequences)
Experience building models that operate on multi-modal data (text, structured, behavioral signals)
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