Hiring.Camp

AI Intern

Marvell

·

Today

Location
IN - Bangalore, India
Type
Internship
Seniority
Internship
Closing date
Today
Source
Workday

Description

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, 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

Marvell is a leading provider of innovative storage technologies, including ultra-fast read channels, high-performance processors, leading edge transceivers, highly efficient analog designs, and powerful cryptographic engines. These solutions address all segments of the hard disk drive (HDD) and solid-state drive (SSD) electronics markets, providing complete solutions including controllers, product firmware, and reference board designs. Many of the same technologies have been utilized in Marvell storage system solutions products, powering PCs, servers, cloud, and enterprise systems.

What You Can Expect

1.Assist in the design/architecture and development of AI applications, models and frameworks for real-world applications.

2.Conduct research and experiments on new AI algorithms, models, and architectures.

3.Implement and optimize machine learning algorithms and workflows for performance and scalability.

4.Develop prototypes and proof-of-concept implementations for novel AI frameworks.

5.Analyze and benchmark the performance of existing AI models and propose enhancements.

6.Assist in the integration of new AI systems into larger platforms and applications.

7.Collaborate with data engineers and software developers to create end-to-end data pipelines and model deployment strategies.

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

Approved Intern for 2027 Calendar Year

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 

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification 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.

#LI-TT1

Skills

Machine Learning

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