AI ML Engineering Intern (7916)

Are you looking for an opportunity with plenty of growth potential? Do you enjoy working in an exciting, fast-paced, collaborative environment? Are you interested in working with the world’s most innovative companies to create a more connected world?

Connecting Continents. Impacting Communities.

The backbone of the Internet is a series of high-tech subsea fiber optic cables deployed throughout the globe - SubCom has deployed over 50% of them. Our employees ensure data communications networks are engineered, manufactured, deployed to the highest standards, enabling faster and more reliable connectivity to communities worldwide. Every member of the SubCom team plays a role in an end-to-end process that is critical to enterprises, governments, big cities, and rural towns.

We encourage, expect, and value creativity, thoughtful risk taking, openness to change, and diverse perspectives. Whether you’re a seasoned applicant seeking a new and exciting challenge, or you’re new to the workforce and looking for a flexible, rewarding, and fast-paced position with an innovative and stable organization (since 1953), SubCom has opportunities to advance your career.

Position Overview

The AI/ML Engineering Intern will join the Software Department at SubCom LLC, a team focused on developing platforms for Network Management and Digitization. Reporting directly to the Director Software Development, the intern will support ongoing innovation in network management and digitization powered by AI and machine learning. The main objectives of this position are to contribute to the development, testing, and deployment of AI/ML solutions that enhance the efficiency, reliability, and scalability of SubCom’s network management and digitization platforms.

Responsibilities

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Assist in the design, implementation, and evaluation of AI/ML models.

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Contribute to data collection, preprocessing, and feature engineering activities.

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Collaborate with software engineers and stakeholders to integrate AI/ML solutions into existing systems.

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Document project progress and communicate findings in a clear and professional manner.

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Participate in team meetings, code reviews, and brainstorming sessions.

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Explore emerging AI/ML technologies and suggest possible applications.

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Contribute to the creation of prototypes, technical demonstrations, or internal presentations.