Research Scientist - Trustworthy AI

New York, New York, United States

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Biotechnology, Computer Graphics, Accelerated ComputingIndustries

Requirements

Candidates should have a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field, or a Bachelor's degree with substantial industry experience in NLP, adversarial ML, and dataset creation for AI models. A minimum of 5 years of experience in program or product management, preferably in AI/ML, NLP, or social impact technology, is required. Proven experience managing interdisciplinary and multicultural projects, strong organizational and communication skills, familiarity with LLMs, language data lifecycles, or multilingual NLP, and a passion for linguistic diversity, digital equity, and inclusive AI are also necessary. Experience in computational linguistics, sociolinguistics, data governance, international or community-centered technology projects, open-source, humanitarian tech, or nonprofit environments, and fluency in a non-English language are considered advantageous.

Responsibilities

The Product Manager will lead and coordinate initiatives for low-resource language AI projects, ensuring alignment with organizational goals. They will engage with linguists, language communities, NGOs, researchers, and policymakers to inform and implement program priorities. Responsibilities include maintaining AI model behavioral policies for ethical and legal compliance, promoting NVIDIA's AI behavior guidelines, and providing feedback to the community for responsible AI development. Additionally, the role involves identifying linguistic tactics to bypass guardrails, developing adversarial test sets or fine-tuned models to strengthen AI defenses, and collaborating with responsible AI and legal teams to identify and mitigate potential ethical, sociocultural, and governance risks.

Skills

Large Language Models (LLMs)

Low-resource languages

Linguistic equity

Cultural preservation

Responsible AI

Policy development

Adversarial testing

AI model behavior

Guardrails

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

Land your dream remote job 3x faster with AI

Try Jobo Free