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Internship Llm Jobs (NOW HIRING)

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Interns can support 100% remotely. This open-ended graduate internship is designed to provide ... Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers.

Workato

Intern, AI Engineering

San Francisco, CA

Responsibilities We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient ...

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How much do internship llm jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship llm in the United States is $17.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $17.31 per hour, depending on experience, location, and employer.

What is an internship LLM?

Internship LLMs typically refer to internship positions designed for students currently pursuing or recently graduated with a Master of Laws (LLM) degree. These internships provide practical legal experience, allowing LLM students to apply their academic knowledge in real-world settings, such as law firms, corporations, non-profits, or government agencies. The goal is to help interns build professional networks, develop specialized skills, and enhance their employability in the legal field. Most LLM internships are short-term and may focus on specific areas of law that align with the intern's interests and coursework.

What skills and qualifications are needed for an internship LLM?

To thrive in an LLM Internship, you typically need a background in computer science, machine learning, or a related field, with strong programming skills in Python and a solid understanding of natural language processing concepts. Familiarity with deep learning frameworks like TensorFlow or PyTorch, and experience with version control systems such as Git, are commonly required. Strong problem-solving abilities, effective communication, and a collaborative mindset will help you stand out in a research or development team. These skills and qualities are important for contributing to cutting-edge AI projects and adapting to the rapidly evolving field of language models.

What types of projects do interns work on during an internship LLM?

During an LLM (Large Language Model) internship, interns are often assigned to projects that involve data preprocessing, model evaluation, or contributing to the development of NLP applications. Interns may assist in curating datasets, fine-tuning models, or building tools that help improve the performance or usability of LLMs. These tasks are integral to the team's objectives, as interns' contributions help accelerate research, streamline workflows, and ultimately improve product outcomes. Collaboration is common, with interns working closely with engineers, researchers, and product managers to solve real-world challenges.
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Infographic showing various Internship Llm job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,684 per year, or $17.2 per hour.

2026 Fall Intern, Memory and Personalization

Samsung Research America Internship

Mountain View, CA

$17.75 - $23.50/hr

Internship

Re-posted 17 days ago

Job description

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.

Apply