Lab Summary:

Advanced Intelligence Lab at Samsung Research America is working towards a vision of a world-class voice assistant that provides a unified AI experience across multiple devices (Galaxy Smartphones, Galaxy Watch & Smart home appliances like TVs, Family Hub, IoT devices etc.) with deep integration and building AI assisted services intelligent solutions.

We work on applied research, innovative products, services, and experiences to delight our users by promoting new technologies to make best user experience with Bixby on devices to be intuitive, faster, seamless, more powerful, and multi-dimensional across different product domains/categories. Our goal is to improve user’s lifestyles through technology advancement and experience enrichment.

Position Summary:

Bixby is an intelligent personal assistant which is only available as a built-in application on Samsung flagship devices and wearables. This application uses Natural Language Understanding to perform tasks on these devices using voice/ text, including but not limited to making phone calls, sending text messages, setting up meetings, opening apps, setting alarms and timers, getting directions, answering general questions, providing information about restaurants and other businesses, etc.

Samsung Bixby team is seeking talented and self-driven software engineering interns to join our applied research on Long-term memory and personalization solutions. As an intern you will work closely with our team of engineers to develop and maintain software products, learn about the latest technologies and industry trends, and gain valuable experience in a fast-paced and dynamic work environment and build next generation AI services that influence the evolution of smart assistant solutions across our flagship devices. As an intern on the Memory & Personalization team, you will work on next-generation long-term memory systems for Bixby. This includes building and evaluating retrieval pipelines (vector + graph), designing contextual reasoning mechanisms, and developing scalable personalization infrastructure that operates efficiently under device constraints.

We are looking for an Intern to join us this Fall 2026.

Position Responsibilities:

Design and prototype hybrid memory retrieval systems combining vector search and structured knowledge graphs
Develop long-term memory models from user interaction signals
Build evaluation pipelines for memory relevance, personalization accuracy, and latency
Optimize memory systems for low-latency and on-device deployment
Collaborate with system, platform, and product teams to integrate memory into assistant workflows

Required Skills:

Currently pursuing a PhD in Computer Science or equivalent field with knowledge around Long-term memory, LLM, ML, AI
2+ years of ML engineering experience with building end-to-end systems in production
Strong hands-on experience with ML systems through research projects, internships, or production environments
Experience with retrieval systems (vector databases, ranking, search)
Familiarity with graph databases or knowledge graphs
Experience with large language models and embedding-based retrieval
Strong Python skills and familiarity with ML frameworks (PyTorch or TensorFlow)

Special Attributes:

Experience with memory systems or knowledge representation
Knowledge of GraphQL and modern API patterns
Experience with recommendation systems or search
Background in information retrieval or ranking systems
Knowledge of model optimization and quantization
Strong knowledge of design patterns and scalable architecture
Experience with CI / CD platforms like Jenkins, Github actions and Circle CI
Hands on experience with Web applications/services development in a professional environment

This position is open to candidates who are legally authorized to work in the United States.

Our total rewards programs are designed to motivate and engage exceptional talent. The hourly pay rate range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the hourly pay rate range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.

Hourly Pay Rate Range

$44—$63 USD

Additional Information

Disclosure of Trade Secrets

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or emailsratalent@samsung.com.

Equal Employment Opportunity

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link:Pay Transparency

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