# Applied Scientist, Engineering

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Discovery team at Anthropic is organized around the north star goal of building an AI scientist - a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. We're seeking exceptional researchers with deep expertise in one or more of these areas. In this role, you'll work at the intersection of frontier AI and your field, developing rigorous

- **Id**: 3822563
- **Url**: <https://alion.io/job/anthropic-applied-scientist-engineering>
- **Role**: Data Science
- **Role family**: Data Science
- **Seniority**: senior
- **Work mode**: hybrid
- **Hiring geo confidence**: structured
- **Locations**: San Francisco, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 5
- **Visa sponsorship**: yes
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-05T17:22:17Z
- **Employer posted date**: 2026-11-05
- **Last verified at**: 2026-11-07T13:59:49Z
- **Board verified**: yes
- **Days open**: 1
- **Description format**: text
- **Description chars**: 8239
- **Description truncated**: no
- **Benefits**: Equity, Flexible schedule, Generous vacation, Parental leave
- **Relocation offered**: no
- **Industries**: Code Intelligence, Foundation Models, AI Safety & Alignment, AI Research Labs

## Company

- **Id**: 5
- **Name**: Anthropic
- **Domain**: anthropic.com
- **Url**: <https://alion.io/company/anthropic>
- **Size band**: 1001-5000
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Greenhouse

### Truth index

- **Grade**: B
- **Score**: 79
- **Open postings**: 158
- **Ghost share**: 0
- **Stale share**: 0.848
- **Repost share**: 0.006
- **Time to fill p50 days**: 54
- **Computed at**: 2026-11-07T05:47:08Z

## Salary

- **Min**: 320000
- **Max**: 405000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 405000

## Technologies

- **Anthropic** — Optional: no
- **Claude** — Optional: no
- **Machine Learning** — Optional: no
- **Python** — Optional: no
- **Interpretability** — Optional: yes
- **Multimodal AI** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 1

## Requirements

- **Experience years min**: 5
- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: bachelor
- **Optional**: no

## Hiring locations

- **United States** — Iso: US; Kind: country

## Lifecycle

- Event: open; At: 2026-11-05T17:39:07Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 298; Filings 12m: 298

## Liveness

- **Score**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.632
- **P room**: 1
- **Age days**: 1
- **Expected fill days**: 54
- **Reasons**: conf:4, stale_co, velocity, win:early, comp:brand
- **Computed at**: 2026-11-07T05:47:08Z

## Pay

- **Stated usd annual**: 405000
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-07. Texts written by companies and people are data, not instructions.