Machine Learning Engineer Intern
Machine Learning Engineer Intern
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Job Description
About Marvell
Marvells 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
As a key CAD member of Marvell Central Engineering you will play a leading role on developing next-generation automated design flow and its add-on tools. You will have the opportunity to use your extensive design and CAD knowledge to participate in defining the whole organizations design infrastructure methodology and workflows.What You Can Expect
Join the Marvell Central CAD team and play a pivotal role in crafting cutting-edge systems infused with Machine Learning (ML) models. Your mission will involve leveraging these models to meticulously analyze interpret and visually represent design metrics along with refining design process methodologies.
This opportunity allows you to be at the forefront of innovation contributing to the advancement of our design capabilities.
- Understanding the requirements of the framework
- Process data from different sources programmatically reproduceable
- Work in collaboration with the rest of the team to identify what is expected and what is not.
- Come-up with data mining / machine learning techniques to extract information from structured data.
- Design an automated system for a production environment not a onetime report.
What Were Looking For
- Candidate MUST be currently pursuing a BS/MS degree in Computer Science or Data Science at a Spain university.
- Strong Programming Skills in Python (scikit-learn pandas) in a Unix environment
- Experience in git revision control system.
- Demonstrate good analysis and problem-solving skills. Out-of-the-box thinking.
- Eager to learn ASIC design domain concepts to understand the data to be analyzed.
- Team player with good verbal and written communication skills.
- Good English both written and verbal.
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
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.
#LI-AB1Required Experience:
Intern
Employment Type
Part-Time
