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Internship Research Scientist Cognitive Science Jobs

Research Scientist

Hoboken, NJ · On-site +1

$98K - $133K/yr

Area to join its research team as a Research Scientist to support highly technical research and ... Requirements Master's degree in Computer Science, Cognitive Science, or related science/engineering ...

Cyber Research Scientist (Early Career)

Columbus, OH · On-site

$112K - $138K/yr

... Data Science, or a related technical field * 0-2 years of experience in cybersecurity, OSINT research, cyber threat intelligence, or related analytical or technical roles; internships, research ...

... cognitive and distributed sensing, and machine learning systems, among others. Successful ... Preferred * Master's degree with a focus on ML/AI, dataintensive systems, network science ...

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Internship Research Scientist Cognitive Science information

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How much do internship research scientist cognitive science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for internship research scientist cognitive science in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.
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Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026

Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026

NVIDIA

Santa Clara, CA • On-site

Full-time

Posted 5 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 245 rated software companies


Job description

Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. The Human Performance and Experience team is seeking a Research Scientist to advance AI in gaming and robotics by understanding human interaction and perception, collaborating with various teams and mentoring interns.
Responsibilities:
• Propose, research, prototype and test innovative research ideas.
• Publish at top conferences and patent novel inventions.
• Collaborate with other research team members, external researchers, and mentor interns.
• Create working interactive demonstrations to showcase your research ideas.
• Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.
Qualifications:
Required:
• Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
• Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
• Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
• Proficiency with Python, Rust, and/or C++.
• Experience with AI model training and evaluation frameworks, like PyTorch.
Preferred:
• Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
• Experience with multi-node, multi-GPU training and inference workflows.
• Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
• A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993