# Senior Machine Learning Engineer, AI Safety Evaluations

NVIDIA has helped redefine what computers can do. Now, generative AI is opening new possibilities for how people learn, create, and tackle problems. Realizing that potential means answering some of the hardest questions in AI: Where do models fall short? Which risks are we missing? How do we know our safeguards are working? As an expert in machine learning for Evaluations, you’ll help establish the evidence that guides the next generation of safer AI. Your curiosity and scientific judgment can shape what we test, what we learn, and what we build next. We are looking for a Machine Learning Engineer / AI Researcher / Data Scientist to join our AI Safety and Responsibility efforts within Enterprise Risk Management. Engaging directly in engineering tasks, you will apply your data science and statistics skills. You will turn open research questions into rigorous benchmarks, inventive experiments, and tools that reveal how multimodal large language models behave under pressure. Working with researchers and platform engineers, you’ll connect those discoveries to better training methods and safeguards, with reproducible results that inform technical reviews and executive decisions. If you

- **Id**: 3844788
- **Url**: <https://alion.io/job/nvidia-senior-machine-learning-engineer-ai-safety-evaluations>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: senior
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Santa Clara, United States, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 6
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-05T00:00:00Z
- **Employer posted date**: 2026-11-05
- **Last verified at**: 2026-11-09T01:23:15Z
- **Board verified**: yes
- **Days open**: 4
- **Description format**: text
- **Description chars**: 4912
- **Description truncated**: no
- **Benefits**: Equity
- **Relocation offered**: no
- **Industries**: Processors, MCUs & AI Chips, Servers & Data Center Hardware, Computer Components, AI Chips & Accelerators

## Company

- **Id**: 6
- **Name**: NVIDIA
- **Domain**: nvidia.com
- **Url**: <https://alion.io/company/nvidia>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Workday

### Truth index

- **Grade**: B
- **Score**: 84
- **Open postings**: 797
- **Ghost share**: 0.025
- **Stale share**: 0.55
- **Repost share**: 0.055
- **Time to fill p50 days**: 41
- **Computed at**: 2026-11-09T06:03:00Z

## Salary

- **Min**: 184000
- **Max**: 287500
- **Currency**: USD
- **Period**: year
- **Usd annual**: 287500

## Technologies

- **AI Agents** — Optional: no
- **Human-in-the-Loop** — Optional: no
- **Machine Learning** — Optional: no
- **Multimodal AI** — Optional: no
- **Python** — Optional: no

## Trust

- **Level**: ok
- **Days open**: 4

## Requirements

- **Experience years min**: 6
- **Manages managers**: no
- **Security clearance**: no

### Education

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

## Lifecycle

- Event: open; At: 2026-11-06T00:20:33Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 2,856 · green card filings: 799; Filings 12m: 2856

## Liveness

- **Score**: 63
- **Band**: ok
- **Label**: Likely open
- **P open**: 1
- **P active**: 0.632
- **P room**: 1
- **Age days**: 4
- **Expected fill days**: 41
- **Reasons**: conf:4, stale_co, velocity, win:early, comp:brand
- **Computed at**: 2026-11-09T06:03:00Z

## Pay

- **Stated usd annual**: 287500
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-09. Texts written by companies and people are data, not instructions.