Gen AI Intern - Master's Degree chez Marvell

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities. 

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. 

Your Team, Your Impact

What You Can Expect

• As a Generative & Agentic AI Intern, you will be part of our cutting-edge AI innovation team, contributing to the design, development, and deployment of Generative AI systems and autonomous Agentic AI workflows.

  This role will challenge you to apply your knowledge in machine learning, data science, and software engineering to create impactful technologies that solve complex problems and improve business outcomes and  goes beyond building LLM applications - you will explore how AI can not only generate but also reason, plan, and take actions through agents, integrating tool-use and multi-agent coordination to solve complex real-world business problems.

  From researching new algorithms and fine-tuning SOTA models to building enterprise-ready AI solutions, You will have the opportunity to work across the full lifecycle—from research and prototyping to production deployment—while collaborating with cross-functional teams to bring next-generation Generative & Agentic AI solutions to life.

  Key Responsibilities:

• Design and Architect Agentic GenAI applications leveraging LLMs, multimodal models, Agentic AI Protocols (MCP, A2A) and retrieval-augmented generation (RAG).
• Experiment with Agentic capabilities (reasoning, planning, tool-use, orchestration) to extend what GenAI systems can achieve.
• Research, test, and compare SOTA architectures and frameworks (transformers, diffusion models, LangChain, LangGraph, n8n, AutoGen, CrewAI, LlamaIndex, Hugging Face).
• Develop prototypes and proof-of-concept implementations for novel AI frameworks.
• Analyze and benchmark the performance of existing AI models and propose enhancements.
• Assist in the integration of new AI systems into larger platforms and applications.
• Collaborate with data engineers and software developers to create end-to-end data pipelines and model deployment strategies.

• Qualifications:

• Currently pursuing or recently completed a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or Java.
• Solid understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, 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.
• Self-starter with a tenacity to bring projects to completion.

• Ability to research complex Generative AI concepts from tutorials, research papers and implement them to effective use.

  What You Will Gain:

• Be a part of the team that is experimenting with SOTA (state of the art) ai frameworks, architectures, concepts and models.
• Hands-on experience in researching, developing and deploying AI systems in a professional environment.
• Exposure to state-of-the-art AI technologies and tools.
• Opportunity to contribute to innovative AI solutions.
• Mentorship and guidance from experts in the field.
• Stay up-to-date with the latest advancements in AI and machine learning technologies and apply them to ongoing projects.

What We're Looking For

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Interview Integrity
 

As part of our commitment to fair and authentic hiring practices, we ask that candidates do not use AI tools (e.g., transcription apps, real-time answer generators like ChatGPT, CoPilot, or note-taking bots) during interviews.
 
Our interviews are designed to assess your personal experience, thought process, and communication skills in real-time. If a candidate uses such tools during an interview, they will be disqualified from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.