Nvidia Research Scientist - Trustworthy AI 

United States, California 

832847959

time type

Full time

posted on

Posted 6 Days Ago

job requisition id

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

projects are flawlessly implemented.

What you'll be doing:

• Lead and coordinate initiatives that support low-resource language AI projects, aligning them with NVIDIA's ambitious organizational goals.

• Engage with linguists, language communities, NGOs, researchers, and policymakers to inform and successfully implement program priorities.

• Maintain AI model behavioral policies to ensure alignment with ethical standards, legal requirements, and user impacts across diversecontexts.

• Contribute to the broader policy landscape by promoting NVIDIA’s AI behavior guidelines and providing feedback to the community to support responsible AI development.

• Identify linguistic tactics used to bypass guardrails and develop adversarial test sets or fine-tuned models to strengthen AI defenses against prompt circumvention.

• Identify and mitigate potential ethical, sociocultural, and governance risks, in collaboration with responsible AI and legal teams.

What we need to see:

• 5+ years of experience in program or product management, preferably in AI/ML, NLP, or social impact technology.

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field or a Bachelor’s degree (or equivalent experience) in one of these fields with substantial industry experience in natural language processing (NLP), adversarial ML, and dataset creation for AI models may also be acceptable.

• Proven track record of managing interdisciplinary and multicultural projects.

• Strong organizational and communication skills, with an emphasis on documentation, prioritization, and reporting.

• Familiarity with LLMs, language data lifecycles, or multilingual NLP.

• Passion for linguistic diversity, digital equity, and inclusive AI.

Ways to stand out from the crowd:

• Background in computational linguistics, sociolinguistics, or data governance.

• Experience with international or community-centered technology projects.

• Fluency or proficiency in a non-English, especially a low-resource language.

• Experience in open-source, humanitarian tech, or nonprofit environments.