Staff Research Scientist, Intern – PhD Foundational AI

Visa

. Conduct generative AI and LLM research focusing on scalable methods, model adaptation, evaluation, and applied use cases .

Posted 9/17/2026internshipFoster City • California • United StatesEntry Level💰 $66 - $73 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Generative AI, LLMs, and deep learning, with a strong focus on scalable methods and model adaptation. Proven ability to design and implement AI algorithms for enterprise-scale systems while effectively collaborating with cross-functional teams.

Highest-signal resume keywords

Generative AILarge-Scale Model TrainingPython ProgrammingDeep LearningTechnical Publications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AILLMsDeep LearningModel EvaluationScalable MLFine-TuningModel TrainingPythonC++Java

Soft Skills

Effective CommunicationCollaborationAdaptabilityProblem-Solving

Tools & Technologies

HadoopSpark

Industry Keywords

AI AlgorithmsEnterprise-Scale SystemsProof-of-Concept PrototypesData PipelinesIntellectual Property

Tech Stack

Tools & technologies

Distributed SystemsHadoopJavaPythonSparkC++

About the role

Key responsibilities & impact

Conduct generative AI and LLM research focusing on scalable methods, model adaptation, evaluation, and applied use cases
Design, implement, and evaluate AI algorithms for enterprise-scale systems
Develop proof-of-concept prototypes to transition research into innovative products
Optimize workflows for model training, inference, and data pipelines
Prepare technical publications, reports, and intellectual property submissions
Collaborate with engineering, product, and cross-functional partners to deliver impactful AI solutions
Present project achievements and recommendations to Visa leaders at the program culmination

Requirements

What you’ll need

Students pursuing a Ph.D. with a graduation date in December 2027 or later
Strong research record demonstrated by publications, patents, presentations, or technical contributions
Experience in Generative AI, LLMs, deep learning, scalable ML, fine-tuning, model evaluation, or AI agents
Knowledge of large-scale model training, efficient inference, or distributed systems
Proficiency in Python, C++, Java, or similar languages
Familiarity with big data frameworks such as Hadoop or Spark is a plus
Ability to communicate complex concepts clearly and collaborate effectively
Adaptability to evolving research priorities and problem-solving in an experimental setting
Digital fluency, including the ability to work with emerging technologies such as Generative AI tools
Ability to work at least 3 days in the office
Ability to travel 5–10% of the time

Benefits

Comp & perks

12-week immersive internship experience
Interactive workshops and learning sessions
Professional skills development
Social events fostering community and connection
Hands-on experience in a dynamic, global environment