Machine Learning Intern Bachelor's Degree

About Marvell

Marvells 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.

This is an existing vacancy.

Your Team Your Impact

What You Can Expect

Responsibilities

• In collaboration with the Data Scientists model and run performance analysis of different deep learning architectures for the Rianta proprietary hardware design.
• Running different deep learning benchmarks on other hardware such as CPU and GPU.
• Modeling deep learning operations of the Accelerator under development e.g. convolution matrix multiplication pooling layers back-propagation and running
• performance analysis.
• Investigate and comprehend related technical reports and research papers.
• Writing technical reports on the various experiments that you performed.

What Were Looking For

Qualifications

• Currently enrolled in a university and registered with the schools co-op program (Master or Ph.D. are preferred).
• Concrete programming skills in Python C.
• Be familiar with high performance computing distributed processing algorithm and data structures.
• Be familiar with fundamental deep learning concepts and machine learning algorithms.
• Be familiar with fundamental computer hardware architecture and multi-core processors.
• Demonstrate strong communication skills

Preferred Qualifications:

• Experience with deep learning frameworks such as Tensorflow and PyTorch.
• Very familiar with the Linux development environment.
• Familiar with linear algebra algorithms such as matrix factorization SVD

Expected Base Pay Range (CAD)

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. Were 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 its 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.

Marvell may employ artificial intelligence technologies to assist in the evaluation of job applications. All application reviews include meaningful human involvement and no hiring decisions are made solely on the basis of automated processing.