Intern Generative AI Software Engineer

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

What You’ll Learn

• Project Overview: Development and optimization of neural network-based tools to improve work efficiency.

• Skills You’ll Learn:

• Framework definition: Problem understanding, literature survey, selection of algorithm

• Tool development: Implementation, verification, deployment

• NN fine tuning: Optimization of NN parameters and configuration

What You’ll Do

You’ll be part of the Multimedia Software team, and you will work alongside senior software engineers and researchers to develop AI-based tools that will be used by other teams within Samsung to make data mining and data extraction faster and more efficient.

Location: Daily onsite presence at our San Diego office in alignment with our Flexible Work policy

Reports to: Sr. Principal Engineer

• Understand the problem statements and define potential LLM- based solutions

• Perform literature survey of existing state-of-the-art for the specific problem

• Identify, implement and test software solutions that could best address the problem

• Create and maintain database used for training, evaluation and testing of the implemented solution

• Make the solution available to other teams by integrating it into frameworks for AI applications

• Prepare summaries, presentations and documentation of the implemented solution

What You Bring

Add/delete bullets to highlight what’s critical to the role. Be brief. Unnecessary or verbose criteria may dissuade potential applicants.

• Pursuing Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely-related technical field (e.g., Robotics, Artificial Intelligence/Machine Learning, Applied Mathematics, or Embedded Systems)

• Must have at least 1 academic quarter/semester remaining

• Python

• Machine Learning/Deep Learning

• Experience with LLM and transformer-based architectures

• You’re inclusive, adapting your style to the situation and diverse global norms of our people.

• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.

• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.

• Innovative and creative, you proactively explore new ideas and adapt quickly to change.