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Samsung Research America

Develops advanced technology in multiple domains

Software Engineer Intern - Memory and Personalization

Fall 2026Updated
$44 - $63/hr+ Annual bonus eligibility
Internship
PhD
Mountain View, CA, USA
In Person
AI & Machine LearningApplied Machine Learning

About the job

Requirements
  • Currently pursuing a PhD in Computer Science or an equivalent field, with knowledge of long-term memory, large language models, machine learning, and artificial intelligence.
  • At least 2 years of machine learning engineering experience building end-to-end systems in production.
  • Strong hands-on experience with machine learning systems through research projects, internships, or production environments.
  • Experience with retrieval systems, including vector databases, ranking, and search.
  • Familiarity with graph databases or knowledge graphs.
  • Experience with large language models and embedding-based retrieval.
  • Strong Python skills and familiarity with machine learning frameworks such as PyTorch or TensorFlow.
  • Experience with memory systems or knowledge representation.
  • Knowledge of GraphQL and modern application programming interface 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 continuous integration and continuous delivery platforms such as Jenkins, GitHub Actions, and CircleCI.
  • Hands-on experience developing web applications and services in a professional environment.
  • Legally authorized to work in the United States.
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.

About the company

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Samsung Research America

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Samsung Research America specializes in advanced technologies such as next-generation communications, artificial intelligence, digital media, mobile platforms, and digital health. Their innovations include FadeNet, a convolutional neural-network based technology, and the ECG Monitor App, which enables ECG recording using Galaxy Watch for atrial fibrillation screening.

Company Size

501-1,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Mountain View, California

Founded

1988

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Benefits

  • Onsite Fitness Facility
  • Subsidized Meals
  • Coffee Barista Bar
  • Samsung University
  • Product Discounts
  • Dog Friendly Campus
  • Wellness Programs
  • Activity Clubs
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