---
title: Applied Scientist III, Foundation AI Assets at Amazon
description: Amazon is hiring for the Applied Scientist III, Foundation AI Assets role in Boston,
  MA. Full-time role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/applied-scientist-iii-foundation-ai-assets-at-amazon-01a1403b-0e1c-7520-8b6a-7765584afca5
date: 2026-11-15T01:26:44Z
og_description: Join Amazon as Applied Scientist III, Foundation AI Assets in Boston, MA. Pays
  $167.1K–$226.1K per year. Full-time role.
og_image: https://www.foundrole.com/og/ldpxcy.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) |
| **Location** | Boston, MA |
| **Salary** | $167.1K/yr - $226.1K/yr |
| **Type** | Full Time |
| **Posted** | Oct 15, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Amazon sponsors H-1B visas. It filed 25,968 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Amazon.

## Pay for similar jobs

Most similar jobs pay $168,000 – $226,000 a year (median $197,000).

## Description

The Foundational AI Assets (FAI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs).  

Key job responsibilities  
As an Applied Scientist with the FAI team, you will support the development of RL Gyms, assess their usefulness for the frontier model advancement and build techniques to advance the state of the art with LLMs. You will support the foundational model development in an applied research role. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.  

About the team  
The FAI team has the mission to push the envelope in GenAI with LLMs, in order to provide the best-possible experience for our customers.

## Basic Qualifications

\- Experience with neural deep learning methods and machine learning  
\- PhD, or Master's degree and 6+ years of applied research experience  
\- 3+ years of building machine learning models for business application experience  
\- Experience programming in Java, C++, Python or related language

## Preferred Qualifications

\- Experience with building agents OR training LLMs for agentic tasks  

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, MA, Boston - 167,100.00 - 226,100.00 USD annually
## Skills

- Deep Learning
- Applied Research
- Python
- C++
- Large Language Models (Llm)
- Machine Learning
- Java
## Benefits

- Mental Health
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Parental Leave
- Paid Time Off (Pto)
- 401(k) Plans
- Employee Stock Options (ESOs)

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