Intern, Artificial Intelligence

About the role

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

Responsibilities

• 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.

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

Benefits

• Health and disability insurance
• 401(k) match
• Flexible spending accounts
• Employee Assistance Program (EAP)
• Education assistance
• Parental leave
• Paid time off
• Company-paid holidays

Pay

Pay transparency: salary range $25.50 - $48.00 per hour for California, Massachusetts, New Jersey, Washington, and the Greater D.C., Denver, or NYC areas; $22.50 - $41.00 per hour for Colorado, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont. Final offer may vary based on experience and geographic location.

Schedule

Job Schedule: 9/80 – employees work 9 out of every 14 days (80 hours) and have every other Friday off.