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Rag Internship Jobs (NOW HIRING)

Centific

Technical Intern

$40/hr

... Internship Focus Areas: - Natural Language Processing (NLP) - Computer Vision - Machine Learning - Large Language Models (LLM) - Vision-Language Models (VLM) - Retrieval-Augmented Generation (RAG ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

... RAG, RL and AI agents with advanced tool calling and long-horizon reasoning, etc. The primary focus of this internship is to conduct novel research that advances these fields, with the goal of ...

MISO

2027 Summer Intern - Data Science

Carmel, IN · On-site

MISO 2027 SUMMER INTERNSHIP PROGRAM Ready to power up your future? Are you pursuing a graduate ... Support AI-enabled workflows such as data pipelines, automation, LLM/RAG agents, observability ...

Doosan Bobcat North America, Inc

Internship: A semester long opportunity, Internships positions are a part-time employment ... RAG Research & Implementation - Explore Retrieval Augmented Generation techniques to improve answer ...

Doosan Bobcat North America, Inc

Internship: A semester long opportunity, Internships positions are a part-time employment ... RAG Research & Implementation - Explore Retrieval Augmented Generation techniques to improve answer ...

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How much do rag internship jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for rag internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a RAG internship?

A Rag Internship typically refers to a student internship position that is part of a university's 'Rag' (Raise and Give) society or committee, which organizes fundraising events and campaigns for charitable causes. Interns in these roles assist with event planning, marketing, volunteer coordination, and general administrative tasks to support fundraising initiatives. This position offers students practical experience in event management, teamwork, and communication, while contributing to charitable work. Rag Internships are usually unpaid and are a great way for students to develop transferable skills.

What can I expect from the typical workflow and team collaboration during a RAG internship?

During a RAG internship, you can expect to work closely with machine learning engineers, data scientists, and software developers to design, implement, and optimize information retrieval systems that power generative AI models. Your daily tasks may include processing large datasets, experimenting with retrieval algorithms, evaluating model outputs, and contributing to documentation or presentations. Interns often participate in regular team meetings, code reviews, and brainstorming sessions to discuss technical challenges and share progress. This collaborative environment helps you develop both technical and communication skills, while gaining hands-on experience with state-of-the-art NLP technologies.

What are the key skills and qualifications needed to thrive as a RAG intern, and why are they important?

To excel as a RAG Internship candidate, you should possess a solid understanding of natural language processing, machine learning fundamentals, and programming skills, typically supported by coursework in computer science or data science. Familiarity with tools such as Python, PyTorch or TensorFlow, and experience working with large language models and retrieval systems are often required. Strong problem-solving abilities, attention to detail, and effective communication set outstanding interns apart. These competencies enable interns to contribute meaningfully to AI research teams, support innovative projects, and adapt to the rapidly evolving field of AI.

What is the difference between Rag Internship vs Data Analyst Internship?

AspectRag InternshipData Analyst Internship
Required CredentialsBasic coursework, some technical skillsRelevant degree, proficiency in data tools
Work EnvironmentEntry-level, project-based, team settingsOffice or remote, analytical tasks
Industry UsageCommon in creative and design fieldsWidely used across finance, marketing, tech

Rag Internships typically focus on introductory tasks in creative or design fields, requiring basic skills and offering hands-on experience. Data Analyst Internships are more specialized, demanding relevant technical skills and data knowledge. Both provide valuable industry exposure but differ in skill requirements and work focus.

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Infographic showing various Rag Internship job openings in the United States as of September 2026, with employment types broken down into 14% Internship, 1% As Needed, 68% Full Time, 16% Part Time, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Software Engineer Intern (TikTok AI Search & Visual Search Infra Team) - 2027 Summer

San Jose, CA • On-site

TikTok
Arts, Entertainment, and Recreation • 1 - 5K employees
Learn more about TikTokexternal

Temporary, Internship

Medical, Life

Posted 21 days ago

Key responsibilities

  • Design, build, and optimize large-scale infrastructure for TikTok AI Search & Visual Search, supporting billions of online search requests and large-volume offline data processing.

  • Evolve TikTok's search agent platform, including multi-agent orchestration, ReAct and tool-calling workflows, RAG indexing & serving engine, and context/memory management.

  • Deploy and optimize LLM/VLM post-training and inference, including GPU inference acceleration, SFT/RL efficiency, kernel/CUDA optimizations, and offline throughput improvement.

TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Responsibilities
About the team The TikTok AI&Visual Search Infrastructure team builds systems that power intelligent search experiences for users around the world. Our infrastructure serves billions of search requests every day and supports products including traditional search, AI-powered search results, in-app chatbots, and visual search. Our work spans both foundational search engine infrastructure and the rapidly evolving AI Search technology stack. We build large-scale indexing and retrieval systems, multimodal search infrastructure, multi-agent and RAG engines, and high-performance LLM/VLM training and serving platforms. As an engineer on the team, you will have the opportunity to work on challenging problems across AI Agents, RAG, LLM/VLM inference/training, distributed systems, search engines and multimodal machine learning. You will collaborate closely with engineers, researchers, and product teams to help shape the next generation of TikTok Search. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment. Responsibilities - Design, build, and optimize large-scale infrastructure for TikTok AI Search & Visual Search, supporting billions of online search requests and large-volume offline data processing. - Evolve TikTok's search agent platform, including multi-agent orchestration, ReAct and tool-calling workflows, RAG indexing & serving engine, and context/memory management. - Deploy and optimize LLM/VLM post-training and inference, including GPU inference acceleration, SFT/RL efficiency, kernel/CUDA optimizations, and offline throughput improvement. - Build and improve search engine components such as offline document processing pipelines, distributed indexing systems for billion/trillion documents, feature extraction services, and multi-stage retrieval/ranking services - Develop scalable data pipelines and distributed systems for processing billion- or trillion-scale text, image, and video datasets, covering offline computation, stream processing, task scheduling, storage, and data quality. - Explore emerging technologies in personalized search, generative search, multimodal understanding, reinforcement learning, model alignment, and evaluation. - Collaborate with machine learning, product, and other engineering teams to deliver accurate, responsive, and engaging AI-powered and visual search experiences.
Qualifications
Minimum Qualification(s): - Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline. - Strong programming skills and a solid foundation in data structures and basic algorithms. - Familiarity with Linux development environment and proficiency in at least one programming language such as C++, Java, Python, or Go - Strong analytical and problem-solving abilities, with an interest in solving complex engineering problems at scale. - Effective communication and collaboration skills, along with a strong sense of ownership and willingness to learn. Preferred Qualification(s): - Currently pursuing a Master's degree in Computer Science or a related technical discipline. - Internship, research, course project, or open-source experience in one or more of the following areas: - LLM/VLM serving, RAG, or AI agents - Distributed systems, storage systems, and large-scale data processing - Search engines, information retrieval, recommendation systems, or advertising systems - Understanding of search engine concepts such as query understanding, indexing, retrieval, ranking, and result aggregation - Familiarity with LLM serving frameworks such as vLLM, SGLang, or TensorRT-LLM, or agent development frameworks such as LangGraph, is a plus. - Experience analyzing or optimizing system performance, including latency, throughput, concurrency, memory utilization, or resource efficiency - Ability to learn new technologies quickly and apply them to practical engineering or research problems
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $45- $60.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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