# Principal Applied Scientist, Items and Relationships Platform

Interested in setting the scientific vision for how every product at Amazon is understood, identified, and connected, with the opportunity to impact every Amazon customer and every selling partner? The Items and Relationships Platform is the foundation that establishes what every product in Amazon’s catalog is and how products relate to one another. We are rebuilding the platform to establish identity and relationships from meaning and context, using multimodal large language models and generative AI. This is a foundational problem: understanding products deeply enough to identify them, relate them, and keep the catalog trustworthy as it scales to the full breadth of Amazon’s global contribution traffic. A Principal Applied Scientist on the Items and Relationships Platform owns the science direction for product identity and product relationships. It spans how contributions are resolved into a committed product identity, how products are connected into structural relationships (variations, multipacks, newer versions, lines of products, bundles), how confident those decisions are, and how their quality is measured. You will own the strategy for multimodal understanding, representatio

- **Id**: 3653261
- **Url**: <https://alion.io/job/amazon-principal-applied-scientist-items-and-relationships-platform>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: lead
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Seattle, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 10
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: yes
- **Status**: live
- **First seen at**: 2026-11-02T00:00:00Z
- **Employer posted date**: 2026-11-03
- **Last verified at**: 2026-11-13T17:17:56Z
- **Board verified**: yes
- **Days open**: 11
- **Description format**: text
- **Description chars**: 7194
- **Description truncated**: no
- **Benefits**: Health insurance, Parental leave, Restricted stock units
- **Relocation offered**: no
- **Industries**: Robotics AI, Logistics & Warehouse Robotics, Video Production, Developer Tools

## Company

- **Id**: 19
- **Name**: Amazon
- **Domain**: amazon.com
- **Url**: <https://alion.io/company/amazon>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Career site

### Truth index

- **Grade**: B
- **Score**: 78
- **Open postings**: 4651
- **Ghost share**: 0.001
- **Stale share**: 0.889
- **Repost share**: 0.003
- **Time to fill p50 days**: 31
- **Computed at**: 2026-11-12T10:38:37Z

## Salary

- **Min**: 198900
- **Max**: 269000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 269000

## Technologies

- **C++** — Optional: no
- **Java** — Optional: no
- **Knowledge Distillation** — Optional: no
- **LLM** — Optional: no
- **Model Distillation** — Optional: no
- **Multimodal AI** — Optional: no
- **Python** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 11

## Requirements

- **Experience years min**: 10
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: phd
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-11-03T00:50:45Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 23,961 · green card filings: 81; Filings 12m: 23961

## Liveness

- **Score**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.627
- **P room**: 1
- **Age days**: 10
- **Expected fill days**: 31
- **Reasons**: conf:1, stale_co, velocity, win:early, comp:brand
- **Computed at**: 2026-11-12T10:38:37Z

## Pay

- **Stated usd annual**: 269000
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-13. Texts written by companies and people are data, not instructions.
