Top 72 Applied scientist ii Jobs in Suquamish, Wa

Applied Scientist II, Identity Security & Abuse Prevention
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
11d
Applied Scientist
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Computer science
- Azure
- Doctoral degree
11d
Applied Scientist II, Amazon, Amazon
Amazon.com Services LLC —Seattle, WA
- $142,800 - $222,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
Applied Scientist II, Conversational Ad Experiences
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist II, Personalization
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist II, Search Ranking
Amazon.com Services LLC —Seattle, WA
- $142,800 - $222,200 a year
- Full-time
- Office
- Java
- Master's degree
- AD&D insurance
- Health insurance
Data Scientist II
Scribd, Inc. —Seattle, WA
- $118,000 - $150,000 a year
- Full-time
- Computer Science
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
Applied Scientist II, Amazon Search
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Surgery
- Mid-level
- Java
- AD&D insurance
- Health insurance
Applied Scientist II, PXT
Amazon.com Services LLC —Seattle, WA
- $142,800 - $223,400 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist II, Demand Science
Amazon.com LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Computer science
- Computer Science
- Java
- AD&D insurance
- Health insurance
Applied Scientist II - Gen AI & LLM, PXT
Amazon.com Services LLC - A57 —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Computer Science
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist II, Selling Partner Growth
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist II, AWS DynamoDB
Amazon Development Center U.S., Inc. —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
Applied Scientist II, Selling Partner Selection Success
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
12d
Applied Scientist II, AWS Just-Walk-Out Science Team
Amazon.com Services LLC —Seattle, WA
- $142,800 - $222,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist II, US Prime and Marketing Tech
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist II - GenAI/LLM, Translation Services
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Mid-level
- Office
- Java
- AD&D insurance
- Health insurance
Applied Scientist II, Amazon Smart Vehicles
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
Applied Scientist II, Global Mile
Amazon.com Services LLC —Bellevue, WA
- $142,800 - $193,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance

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Applied Scientist II, Identity Security & Abuse Prevention

Amazon.com Services LLC -
Seattle, WA

Apply Now

Job Details

Full-time
$142,800 - $193,200 a year
11 days ago

Benefits

AD&D insurance
Health insurance
Dental insurance
Flexible spending account
RSU
Paid time off
Adoption assistance
Parental leave
Employee assistance program
Vision insurance
401(k) matching
Flexible schedule

Qualifications

AI models
Evaluation research
Performance dashboards
Software engineering
Confidential information handling
Patents
Automation
Conference papers
High-performance computing clusters
Data structures
Design of experiments
Testing and evaluation
Spark
Generative models
UNIX
Classification (ML)
Application deployment
Scalable systems
Threat detection & response
Scientific research papers
Research project design
Java
Master's degree
Security data analysis
Classification analysis
Production systems
C++
Spark implementation
Machine intelligence
Outlier detection

Full Job Description

DESCRIPTION

Amazon's Identity Security & Abuse Prevention (ISAP) team is seeking an Applied Scientist to join our team. We discover, analyze, and quantify security risks across Amazon's identity and authentication landscape, transforming complex behavioral patterns into actionable intelligence that empowers teams to proactively defend against abuse and unauthorized access.

In this role, you will design, build, and own machine learning systems that detect abuse patterns, classify threats, and automate enforcement across sensitive datasets spanning multiple Amazon verticals. You will independently frame ambiguous detection problems, develop novel approaches to abuse prevention, and deploy production ML systems that directly protect Amazon customers and sellers at scale. You will work at the intersection of applied science and security operations, translating complex abuse vectors into scalable detection capabilities.

This is a high-ownership role where your models and systems run autonomously in production, making real-time decisions that prevent fraud and abuse. You will own both existing detection capabilities (improving precision, recall, and coverage of current models) and greenfield science (designing and deploying new detection systems for emerging threat vectors). You will lead experimental design, extend or invent methodologies for your domain, mentor junior scientists, and contribute to the team's scientific roadmap. You will partner with investigators, security engineers, and data engineers to build end-to-end detection and enforcement pipelines, and you will leverage GenAI, LLMs, and AI-agent architectures to advance our abuse prevention capabilities.

Key job responsibilities

Design, develop, and deploy production ML systems for abuse pattern detection, anomaly detection, threat classification, and automated enforcement across multiple Amazon verticals

Independently frame ambiguous security and abuse problems into well-defined scientific questions, propose detection approaches, and drive them from hypothesis through production deployment

Own and improve existing detection models end-to-end: monitor for drift, diagnose degradation, retrain, and extend coverage as abuse patterns evolve

Build and maintain graph-based entity analysis, identity resolution, and modus operandi classification systems that link bad actors across accounts, devices, and behavioral signals

Design and execute rigorous experiments (A/B testing, offline evaluation, statistical validation) to measure model performance and quantify business impact

Architect and deploy GenAI and LLM-based solutions for investigation automation, case classification, and intelligent knowledge retrieval

Contribute to the team's scientific roadmap by identifying high-value detection opportunities, proposing new approaches, and driving prioritization of science investments

Publish research findings in internal Amazon papers and at external peer-reviewed conferences; contribute to the broader scientific community

Partner with investigators, security engineers, and data engineers to understand abuse patterns, translate operational insights into model features, and ensure detection systems drive real enforcement actions

A day in the life
Your morning might start with reviewing model performance dashboards for a classifier you deployed last month, noticing a subtle precision drop that suggests adversarial adaptation. You diagnose the drift, propose a feature addition to counter the new pattern, and kick off a retraining job. Mid-morning, you lead a design review on a new graph-based detection approach you developed to identify organized abuse rings operating across multiple verticals. After lunch, an investigator shares a newly identified modus operandi, and you explore the data to determine if the pattern is learnable at scale, sketching an experimental design. Late afternoon, you pair with a junior scientist on their anomaly detection model, helping them refine their evaluation methodology and avoid a common statistical pitfall. You close the day by drafting a section of a research paper on your entity resolution approach, preparing it for internal peer review.

About the team
The ISAP SafeGuard team mixes long-term, high-impact projects with near-term innovative solutions to prevent abuse across Amazon. We balance Bias for Action, Dive Deep, Invent and Simplify, and Customer Trust daily. Our team embraces new approaches, technology, and innovation while ensuring our solutions are scalable, accurate, and drive action. We work with some of the most sensitive data at Amazon, which requires thoughtful engineering, strict access controls, and a strong sense of responsibility. If you are energized by building ML systems that directly protect customers and sellers from bad actors, at scale, this is the team for you.

Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

BASIC QUALIFICATIONS

3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
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

PREFERRED QUALIFICATIONS

Experience using Unix/Linux
Experience in professional software development
Experience with large scale distributed systems such as Hadoop, Spark etc.
Experience managing confidential and sensitive employee information and adherence to strict confidentiality standards
Experience in fraud investigation, abuse, cyber-crimes, or equivalent
Experience in one or more of: anomaly detection, classification, graph neural networks, temporal modeling, or causal inference
Familiarity with LLM fine-tuning, reward modeling, or feedback signal design
Familiarity with RAG systems, knowledge graphs, or memory-augmented architectures

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Apply Now

Refine Your Search

applied scientist ii jobs in suquamish, wa

Applied Scientist II, Identity Security & Abuse Prevention

Applied Scientist

Applied Scientist II, Amazon, Amazon

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Applied Scientist II, Personalization

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Data Scientist II

Applied Scientist II, Amazon Search

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Applied Scientist II, Demand Science

Applied Scientist II - Gen AI & LLM, PXT

Applied Scientist II, Selling Partner Growth

Applied Scientist II, AWS DynamoDB

Applied Scientist II, Selling Partner Selection Success

Applied Scientist II, AWS Just-Walk-Out Science Team

Applied Scientist II, US Prime and Marketing Tech

Applied Scientist II - GenAI/LLM, Translation Services

Applied Scientist II, Amazon Smart Vehicles

Applied Scientist II, Global Mile

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