Research Scientist, Human Behavioral Modeling and Machine Learning/AI - New College Grad 2025

Nvidia • Santa Clara, CA

406d • $160,000 - $253,000

About The Position

The Research Scientist position in Human Behavioral Modeling and Machine Learning/AI at NVIDIA focuses on innovating within the AI landscape by understanding human behavior. The role involves working with a multi-disciplinary team to guide product development in areas such as interactive AI applications, gaming, and AR/VR. The successful candidate will engage in research, experimentation, and collaboration to address real-world problems and contribute to NVIDIA's vision and future products.

Requirements

• A Ph.D. degree or equivalent experience in Computer Science, Human-Computer/Robot Interaction, Vision Science, Neuroscience, Psychophysics, or related fields.
• 2+ years of relevant research experience.
• Knowledge of organizing and analyzing large-scale time-series behavior data of humans and AI interactions.
• Highly skilled in training and evaluating large language models or generative models with modalities such as vision or action.
• Proficient in programming, preferably in Python (PyTorch, Lightning, HuggingFace) and/or C++.
• Willingness to tackle low-level and infrastructure problems.
• Excellent interpersonal skills and cross-functional experience working on interdisciplinary teams.
• Track record of research excellence or significant product development.

Nice To Haves

• Knowledgeable and skilled in playing, designing, or evaluating player experience of games.
• Adept with multi-node, multi-GPU compute systems.
• Proficient in modern software development and source-control systems, like git.
• Expertise in designing, implementing, and performing behavioral experiments involving human subjects and interactive visual stimuli.
• Solid knowledge and skills of quantitatively modeling human perception, movement, and decision-making.
• Experience in training others to improve skill level in esports, traditional sports, music, or any field requiring systematic training.

Responsibilities

• Identify key questions for guiding product and applications at the intersection of generative AI, language models, gaming, and video conferencing.
• Further develop questions through iterative experimentation and prototyping, guiding products with answers grounded in real-world problems.
• Collaborate with researchers and product innovators inside and outside NVIDIA.
• Publish original research and present at conferences and events.

Benefits

• Highly competitive salaries
• Comprehensive benefits package
• Equity options

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree