Applied Scientist II - GenAI/LLM, Translation Services
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 (14 min ago) · observed since
About this job
Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you!
At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions.
Amazon Translations Services (TS) is seeking an Applied Scientist to be based in our Seattle office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, State-of-the-art technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.
Key job responsibilities
- Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language translation-related challenges in the eCommerce space.
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.
- Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.
- Continuously explore and evaluate state-of-the-art modeling techniques and methodologies to improve the accuracy and efficiency of language translation-related systems.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.
About the team
We are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch.
Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.
Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.
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
Preferred Qualifications
- Experience using Unix/Linux
- Experience in professional software development
- PhD or equivalent research experience, or a Master's degree and experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
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)
Pay in context
This role's base floor ($142,800) is above 28% of the 357 Data & ML roles in Washington listed on this site; 69 others list the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $168,100.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingApplied Scientist II - GenAI/LLM, Translation Services$142,800 to $193,200
Design Technologist II, Elevated Shopping Experience$145,000 to $196,100
Senior Industrial Designer$145,200 to $196,500
Data Center Area Operations Manager$145,400 to $254,500
MDD DCO Cluster Manager$145,400 to $254,500
Data Center Area Operations Manager, Data Center Operations$145,400 to $254,500
Data Center Operations Cluster Manager$145,400 to $254,500
Chart as a table
| Role | Published base |
|---|---|
| Applied Scientist II - GenAI/LLM, Translation Services (this listing) | $142,800 - $193,200 |
| Design Technologist II, Elevated Shopping Experience | $145,000 - $196,100 |
| Senior Industrial Designer | $145,200 - $196,500 |
| Data Center Area Operations Manager | $145,400 - $254,500 |
| MDD DCO Cluster Manager | $145,400 - $254,500 |
| Data Center Area Operations Manager, Data Center Operations | $145,400 - $254,500 |
| Data Center Operations Cluster Manager | $145,400 - $254,500 |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-06-12
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.