Intern, Artificial Intelligence

Intern, Artificial Intelligence

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Location: Melbourne, FL or Rochester, NY

Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked, and have every other Friday off

Job Description:

• Work closely with current team members to support development of machine learning solutions using data-driven models
• Contribute to the improvement of MLOps and data pipelines with the current team
• Work with multi-domain datasets and phenomenologies to develop effective data plans
• Perform data curation and exploratory data analysis
• Support proper regression testing, validation, and documentation of ML models
• Identify relevant pre-trained models and collaborate with team to integrate into solution pipelines
• Identify state-of-the-art (SotA) foundation models and advocate for use in larger AI solutions
• Implement, maintain, and optimize containerization for seamless deployment, scaling of AI / ML workloads, and sharing with other teams for easy reproduction

Qualifications:

• Pursuing a Master's Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics, or related technical degree at an accredited university.

Preferred Additional Skills:

• Experience with Differentiable Programming libraries (e.g., PyTorch, TensorFlow)
• Experience with Database Manipulation libraries (e.g., SQL, NoSQL, Pandas, PySpark)
• Experience with Python and building Virtual Environments (e.g., Conda, UV, Docker)
• Experience developing models using classical and SotA Machine Learning
• Experience maintaining training and inference infrastructure for ML models

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.