The Perfect Order Experience (POE) AI team combines artificial intelligence, machine learning, and economic insights to ensure exceptional customer experiences and seller success on Amazon. We ...
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... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...
... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...
... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...
... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...
... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...
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Artificial Intelligence Machine Learning Physics information
See Seattle, WA salary details
$6.02 - $8.11
0% of jobs
$8.11 - $10.20
0% of jobs
$10.20 - $12.29
0% of jobs
$12.29 - $14.37
24% of jobs
$14.47 is the 25th percentile. Wages below this are outliers.
$14.37 - $16.46
16% of jobs
$16.46 - $18.55
0% of jobs
$18.55 - $20.64
0% of jobs
$20.64 - $22.73
0% of jobs
$22.73 - $24.82
0% of jobs
The median wage is $25.32 / hr.
$24.82 - $26.91
40% of jobs
$26.91 - $29
19% of jobs
$6
$22
$28
How much do artificial intelligence machine learning physics jobs pay per hour?
What is artificial intelligence machine learning physics?
What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?
What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?
What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?
| Aspect | Artificial Intelligence Machine Learning Physics | Data Scientist |
|---|---|---|
| Required credentials | Degree in Computer Science, Physics, or related fields; certifications in AI/ML | Degree in Statistics, Mathematics, Computer Science; certifications in data analysis |
| Work environment | Research labs, tech companies, academia focusing on AI/ML applications in physics | Business, finance, healthcare sectors analyzing large datasets |
| Industry usage | Developing AI models for physics simulations, research, and technology | Extracting insights from data to inform business decisions |
Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.
Is artificial intelligence and machine learning a good career?
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For Artificial Intelligence Machine Learning Physics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Seattle, WA look for?
The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Artificial Intelligence Machine Learning Physics jobs?
Cities near Seattle, WA with the most Artificial Intelligence Machine Learning Physics job openings:

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 22 days ago
Key responsibilities
Lead a team of applied scientists to develop machine learning solutions for the Perfect Order Experience AI initiatives.
Oversee the end-to-end development of a domain-specific large language model, including pre-training, fine-tuning, and reinforcement learning.
Architect automated risk detection and treatment systems that utilize multi-modal signals to identify product quality issues and implement mitigation strategies.
Amazon rating
7.4
Based on 7,146 frontline employees who took The Breakroom Quiz
5th of 39 rated national retailers
Job description
We are seeking an exceptional Senior Applied Science Manager to lead key AI initiatives to ensure a perfect order experience for Amazon customers. In this role, you will spearhead the development of a domain specific large language model designed to comprehend complex seller behaviors and relationships. You will lead the research and implementation on LLM pre-training, fine-tuning and reinforcement learning for LLM reasoning. You will implement and influence ranker models that intelligently adjust product visibility based on risk signals and trust metrics.
Key job responsibilities
- Drive AI strategy and lead a team of applied scientists in developing ML solutions.
- Lead the end-to-end development of a domain specific LLM.
- Drive the development of large-scale pre-training and post-training strategies for the LLM using domain-specific datasets.
- Architect automated risk detection and treatment systems that combine multi-modal signals to identify product quality issues and implement optimization-based mitigation strategies.
- Collaborate with other science teams to develop/ influence ranker models that optimize product visibility.
About the team
About the Perfect Order Experience (POE) AI Team
The POE AI Science team sits at the forefront of Amazon's efforts to ensure customers can shop with confidence. Our team combines artificial intelligence, machine learning, and economic insights to protect product authenticity, maintain quality standards, and safeguard intellectual property across Amazon's vast catalog. The work we do directly impacts billions of customer interactions and enables millions of sellers to thrive while maintaining the highest standards of trust and quality.
BASIC QUALIFICATIONS
- Ph.D. in Computer Science, Machine Learning, or related technical field, or equivalent practical experience
- Experience leading and managing teams of scientists/engineers in delivering ML solutions at scale
- Strong track record in developing and deploying production ML systems
- Strong publication record or proven industrial innovations (e.g., patents) in ML/AI
PREFERRED QUALIFICATIONS
- Strong communication skills with ability to translate complex technical concepts to various audiences
- Experience with LLM development, including pre-training, fine-tuning, and reinforcement learning
- Knowledge of search, ranking, or recommendation systems
- Experience with multi-modal ML systems combining text, image, and structured data
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 - 218,800.00 - 295,900.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US