ML Systems Engineer for AI Safety & Security (Remote)

VulnU; Northern (KY); Híbrido; USD 152 000 - 242 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Resumo da oferta

NVIDIA is seeking an Evaluation/ML-Systems Engineer for AI Safety and Security Engineering. The role focuses on building evaluation infrastructure, defining robust metrics, and ensuring traceability and reproducibility across ML experiments.

You will collaborate with security researchers and platform engineers to design trustworthy benchmarks and scalable measurement pipelines. Remote position with a base salary range disclosed.

Qualificações

• Bachelor's degree (or equivalent experience) with 5 years in ML engineering or evaluation.
• Experience designing benchmarks, metrics, and statistically sound comparisons for ML systems.
• Solid Python engineering for shared infrastructure, including experiment tracking and data pipelines.

Responsabilidades

• Build evaluation infrastructure, benchmarks, and reproducibility systems.
• Define metrics and protocols to measure ML systems.
• Ensure traceability of results to code and runs.
• Maintain evidence discipline so findings are reviewable and reproducible.

Conhecimentos

ML engineering

Evaluation

Python

Experiment tracking

Data pipelines

Benchmarks & metrics

Formação académica

Bachelor's degree

Ferramentas

Python

Descrição da oferta de emprego

NVIDIA is seeking an Evaluation/ML-Systems Engineer for AI Safety and Security Engineering. The role focuses on building evaluation infrastructure, defining robust metrics, and ensuring traceability and reproducibility across ML experiments.

You will collaborate with security researchers and platform engineers to design trustworthy benchmarks and scalable measurement pipelines. Remote position with a base salary range disclosed.