2027 Spring/Summer Intern, Agentic AI Solutions

Samsung Research America Internship•Mountain View, CA

1d•Onsite

About The Position

Samsung Research America’s Advanced Intelligence Lab is developing a unified voice-assistant experience across Galaxy smartphones, Galaxy Watch, TVs, Family Hub, and other smart-home and IoT devices. The lab applies advanced artificial intelligence to make Bixby more intuitive, faster, seamless, powerful, and useful across product categories. Bixby is an intelligent personal assistant built into Samsung flagship devices and wearables. Its Agentic AI framework uses natural-language understanding to interpret users’ intentions and provide assistance, answer questions, and perform tasks such as making calls, sending messages, setting meetings and alarms, opening apps, providing directions, and finding information about businesses. Samsung’s Bixby team is seeking self-driven software engineering interns to contribute to applied research and on-device Agentic AI solutions. Interns will work with engineers to develop and maintain software products, build next-generation Agentic AI services, and gain experience in a fast-paced environment. The work includes developing agents and tools, creating intelligent systems and hybrid reasoning models, building web-intelligence capabilities, developing and tuning models for on-device and edge computation, and improving model efficiency and performance. Interns will primarily use Python and/or Java and contribute to production software, prototypes, and product concepts. The position is performed in an office setting. Candidates must be legally authorized to work in the United States. The hourly pay range is $36–$63, with individual rates varying according to factors including role function, location, skills, experience, education, and training. The compensation package includes annual bonus eligibility and benefits. Applicants must not disclose trade secrets belonging to current or former employers during the application or recruitment process.

Requirements

Currently pursuing a BS, MS, or PhD in Computer Science or an equivalent field, with knowledge of NLP, ML, AI, or agentic frameworks.
Experience and proficiency in software development in any programming language.
Experience with deep-learning architectures such as LSTMs, Transformers, Tree-LSTMs, or Graph Neural Networks.
Knowledge of advanced machine-learning techniques for improving recommendation accuracy and scalability based on content-based filtering methodologies.
Experience with deep-learning frameworks such as TensorFlow, PyTorch, or JAX and libraries such as Hugging Face Transformers, Deep Graph Library, or DGL-KE, with requirements for Android devices.
Hands-on experience developing web applications or REST API services in a professional environment.
Strong knowledge of design patterns and scalable architecture.
Strong understanding of computer-science fundamentals, including algorithms, data structures, and runtime analysis.
Ability to create self-contained, reusable, and testable modules and components.
Experience working in a complex, large codebase and/or an open-source project.
Extensive experience with software prototyping or designing experimental software.
Analytical and problem-solving skills for designing, creating, and testing custom software.
Must be legally authorized to work in the United States.

Responsibilities

Develop agents and tools used by the Bixby Agentic AI framework.
Develop intelligent systems using an LLM-backed agentic framework to advance Bixby as a next-generation smart assistant.
Design and implement algorithms for hybrid reasoning models that integrate multiple approaches and derive actionable insights.
Develop web-intelligence features involving data extraction, semantic analysis, and adaptive learning for a knowledge-driven answer engine.
Develop and fine-tune hybrid models and algorithms for on-device compilation and edge computation.
Establish processes to monitor and continually improve model efficiency and performance through tuning.
Write high-quality production code and build and maintain robust, scalable machine-learning systems.
Program primarily in Python and/or Java using efficient algorithms and software design patterns.
Participate in new product concepts and create proof-of-concept prototypes.
Collaborate and communicate effectively as part of a larger team.