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Marvell Technology · 1 day ago

AI Engineer Intern - Bachelor's Degree

Santa Clara, CA

Internship

Onsite

Intern

$27/hr - $55/hr

Marvell Technology is a leading semiconductor solutions provider focused on innovative technology for data infrastructure. They are seeking an AI Engineer Intern to contribute to the design, implementation, and optimization of AI agents and frameworks, collaborating with cross-functional teams to develop impactful technologies.

DSPInternet of ThingsManufacturingSemiconductorWireless

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Lead the design and development of Agentic AI applications and workflows for real-world use cases

Conduct research and experiments on new AI agent architectures and orchestration strategies

Implement and optimize machine learning models and agent pipelines for performance and scalability

Develop prototypes and proof-of-concept AI agents capable of performing multi-step tasks

Benchmark and analyze the performance of existing AI agents, proposing enhancements to improve reliability and effectiveness

Work with data engineers and software developers to integrate agents into larger platforms and applications

Support the development of secure and compliant agent-based workflows that handle sensitive data

Stay up-to-date with advancements in agentic AI, machine learning, and automation frameworks and apply them to ongoing projects

Qualification

PythonMachine LearningAI DevelopmentRJavaTensorFlowPyTorchData AnalysisStatistical ModelingExperimental DesignVersion ControlDeep LearningReinforcement LearningNatural Language ProcessingCloud ComputingContainerizationDevOps PrinciplesCI/CD PipelinesModel OptimizationResearch ToolsProblem-SolvingTeam Collaboration

Required

Currently pursuing a bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or other related fields with an anticipated graduation date between Winter 2026 and Spring 2027

Proficiency in Python, R, and Java

Solid understanding of machine learning concepts, algorithms, and frameworks such as TensorFlow and PyTorch

Prior exposure to data analysis, statistical modeling, and experimental design

Knowledge of software development best practices, including version control (e.g., Git)

Strong problem-solving skills and ability to work in a collaborative team environment