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Intern Llm Researcher Jobs (NOW HIRING)

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Join Nelnet as an intern and do real work that matters to our business. All Nelnet interns receive ... Technical Research: Track developments in LLM frameworks, agent architectures, tooling, and ...

The intern will also have the opportunity to reshape Samaya's key product roadmap using their ... Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents ...

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027 ... Research Areas * LLM Agent Systems : Design and implement intelligent agent architectures for ...

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027 ... Research Areas * LLM Agent Systems : Design and implement intelligent agent architectures for ...

The intern will explore applications of Agentic and Generative AI in healthcare, supporting ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

The intern will explore applications of Agentic and Generative AI in healthcare, supporting ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

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Intern Llm Researcher information

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How much do intern llm researcher jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for intern llm researcher in the United States is $18.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.

What is an intern LLM researcher?

Intern LLM Researchers are students or early-career professionals who work temporarily in organizations to assist with research and development of large language models (LLMs) such as GPT or BERT. Their responsibilities often include conducting literature reviews, experimenting with model architectures, cleaning and preparing datasets, and evaluating model performance. These internships provide hands-on experience with state-of-the-art AI technologies and exposure to the latest advancements in natural language processing. Intern LLM Researchers typically work under the guidance of senior engineers or scientists and may contribute to published research or new product features.

What types of projects and responsibilities can an intern LLM researcher expect to work on during their internship?

As an Intern LLM Researcher, you'll typically contribute to ongoing research projects focused on large language models (LLMs), such as developing new model architectures, evaluating model performance, or preparing and cleaning datasets. You may collaborate closely with senior researchers and data scientists, participate in literature reviews, and help design experiments to test new ideas. It's common to work in a team-oriented environment where knowledge-sharing and regular meetings are encouraged, providing you with opportunities to learn from experienced professionals. This role offers hands-on experience with state-of-the-art tools and frameworks, and a chance to build a strong foundation for a future career in AI research.

What are the key skills and qualifications needed to thrive as an intern LLM researcher, and why are they important?

To thrive as an Intern LLM Researcher, you need a solid background in computer science, mathematics, and machine learning, often supported by coursework or research experience in natural language processing (NLP). Familiarity with programming languages like Python and frameworks such as PyTorch or TensorFlow, along with knowledge of transformer architectures, are typically required. Strong analytical thinking, curiosity, and effective communication skills help interns contribute to research projects and collaborate with teams. These competencies are crucial for successfully advancing language model research and translating findings into impactful solutions.

What is the difference between Intern Llm Researcher vs Legal Research Intern?

AspectIntern Llm ResearcherLegal Research Intern
CredentialsLLM student or recent graduateUndergraduate or law student
Work EnvironmentLaw firms, legal departments, research institutionsLaw firms, legal clinics, academic settings
Industry UsageLegal research, policy analysis, academic projectsLegal case research, document review, legal writing

The Intern Llm Researcher typically has an advanced law degree or is pursuing one, focusing on in-depth legal research and analysis. The Legal Research Intern is usually an undergraduate or law student gaining practical experience in legal research tasks. Both roles are common in legal settings, but the Intern Llm Researcher often handles more complex research projects related to academic or policy work, while the Legal Research Intern supports case preparation and document review.

What cities are hiring for Intern Llm Researcher jobs?

Cities with the most Intern Llm Researcher job openings:

What are the most commonly searched types of Llm Researcher jobs?

The most popular types of Llm Researcher jobs are:

What states have the most Intern Llm Researcher jobs?

States with the most job openings for Intern Llm Researcher jobs include:

Infographic showing various Intern Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 22% Internship, 1% As Needed, 49% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $38,082 per year, or $18.3 per hour.

Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Meta

Bellevue, WA

Internship

Re-posted yesterday


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies


Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Monetization Generative AI - LLM (PhD) Responsibilities:
  • Perform research to advance the science and technology of intelligent machines
  • Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
  • Analyze and improve efficiency, scalability, and stability of various deployed systems
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience with Python, C++, C, Java or other related language
  • Experience with deep learning frameworks such as Pytorch or Tensorflow
  • Experience building systems based on machine learning, deep learning methods, or natural language processing

Preferred Qualifications:
  • Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
  • Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
  • Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
  • Experience working and communicating cross functionally in a team environment
  • Experience with training deep neural networks for key NLP tasks
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Intent to return to degree program after the completion of the internship/co-op

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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