Applied Scientist, Tablets
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $142,800 to $193,200
Employer-published annual base salary, USD. Advertised base range in Seattle, WA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSeattle, WA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Are you excited to play a strategic role in defining the customer experience on Tablets? Come join a dynamic, customer-obsessed, world-class science team to completely reshape the customer experience on our tablets.
Key job responsibilities
Using Amazon’s large-scale computing resources, you will design and deploy state-of-the-art recommendation models. You will ask research questions about customer behavior, design state-of-the-art models that help customers discover content, and deploy these models to production alongside other engineers. You will participate in the Amazon ML community and mentor other engineers with a strong interest in and knowledge of ML and generative AI. Your work will directly benefit customers!
A day in the life
We are looking for a passionate, hard-working, and talented Applied Scientist who has experience developing state-of-the-art models and deploying them to production. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of products used everyday by real customers!
About the team
The Amazon Tablet team is a world-class team that delivers high-quality, innovative products that are loved by our customers. Our team focuses on spinning many of Amazon’s flywheels with bar-raising mobile experiences on our tablets. Over the last 12 years, we have built 4.0+ star rated products, and we continue to look for ways to scale our business. Join us as we continue our ambitious journey which will give you the opportunity to deliver disruptive products with global impact.
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 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
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
Source: Amazon · View original posting (opens in new tab)
This listingApplied Scientist, Tablets$142,800 to $193,200
Customer Insights Lead, Global Logistics Domestic First Mile$142,800 to $193,200
Senior Product Marketing Manager, GTM Lead, Fashion & Fitness Marketing$142,800 to $193,200
Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML$142,800 to $193,200
Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security Assurance$142,800 to $193,200
Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods$142,800 to $193,200
Applied Scientist, AWS Payments and Fraud Prevention$142,800 to $193,200
Chart as a table
| Role | Published base |
|---|---|
| Applied Scientist, Tablets (this listing) | $142,800 - $193,200 |
| Customer Insights Lead, Global Logistics Domestic First Mile | $142,800 - $193,200 |
| Senior Product Marketing Manager, GTM Lead, Fashion & Fitness Marketing | $142,800 - $193,200 |
| Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML | $142,800 - $193,200 |
| Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security Assurance | $142,800 - $193,200 |
| Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods | $142,800 - $193,200 |
| Applied Scientist, AWS Payments and Fraud Prevention | $142,800 - $193,200 |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-07-13
Where this pay comes from
Location as the employer wrote it: US, WA, Seattle
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.