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Llm Research Intern Jobs (NOW HIRING)

Samaya AI

ML Research Intern

Mountain View, CA

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge ... Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents ...

OpusClip

AI Research Intern

About the Role We're looking for an AI Research Intern to join our AI team and explore cutting-edge ... LLM post-training (e.g. SFT, RLHF, DPO) Applied AI Engineering * Build AI-powered product features ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

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 ...

Fujitsu

Agentic AI Research Intern

Santa Clara, CA · On-site

$40 - $50/hr

FUJITSU RESEARCH OF AMERICA, INC. (FRA) was established in 1993 as a wholly owned subsidiary of ... We are seeking a highly motivated PhD intern to work on LLM-based agents for end-to-end software ...

Centific

Speech Research Intern-2

$45/hr

About Job PhD Research Intern - Speech AI Centific AI Research Full Time 40 hours per week Role ... Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM ...

Cotiviti

$32 - $40/hr

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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How much do llm research intern jobs pay per month?

As of Aug 4, 2026, the average monthly pay for llm research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

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

To thrive as an LLM Research Intern, you need a solid background in machine learning, natural language processing, and programming languages such as Python, typically supported by ongoing or completed coursework in computer science or a related field. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow), version control systems like Git, and familiarity with large language model architectures are highly valuable. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help interns contribute meaningfully to research projects. These competencies enable interns to support innovative research, efficiently tackle complex tasks, and integrate well within interdisciplinary AI teams.

What types of projects do LLM Research Interns typically work on, and how much autonomy do they have in designing experiments?

LLM Research Interns often contribute to cutting-edge projects such as developing novel architectures, enhancing model efficiency, or evaluating bias and fairness in language models. Interns are usually paired with experienced researchers and engineers, collaborating closely within a team while also having the opportunity to propose and test their own ideas. While guidance is provided, interns are encouraged to design and run experiments independently, fostering both learning and innovation. This balance of mentorship and autonomy allows interns to make meaningful contributions while developing their research skills.

What is an LLM Research Intern?

An LLM Research Intern is a student or early-career professional who assists in research and development related to large language models (LLMs), such as GPT or BERT. Their responsibilities typically include conducting literature reviews, implementing machine learning models, analyzing data, and collaborating with senior researchers to improve the performance and capabilities of LLMs. This role is ideal for individuals interested in artificial intelligence, natural language processing, and advancing state-of-the-art language technologies.
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Llm Research Intern jobs near you
Infographic showing various Llm Research Intern job openings in the United States as of July 2026, with employment types broken down into 12% Internship, 1% As Needed, 51% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

ML Research Intern

Samaya AI

Mountain View, CA

Other

Re-posted 9 days ago

Job description

Role

We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our product delivers value to one of the most high-stake environments of AI applications - helping financial professionals make knowledge-informed decisions via key techniques such as 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 publishing in top-tier ML and NLP conferences. The intern will collaborate closely with our team of experienced researchers on topics aligned with the company's mission.

This role is ideal for a PhD or advanced Master's student passionate about fundamental research and real-world AI applications. The intern will also have the opportunity to reshape Samaya's key product roadmap using their research.

Responsibilities
  • Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents, leading to publications in top ML/NLP conferences
  • Develop and experiment with new models, algorithms, and methodologies to improve AI agents performance in real-world tasks
  • Collaborate with in-house researchers to design, implement, and evaluate novel methods in alignment with the company's mission
  • Present findings internally and externally through research papers and technical talks
Qualifications
  • Currently pursuing a PhD or Master's degree in Computer Science, Machine Learning, NLP, or a related field
  • Strong background in deep learning, large language models, and NLP techniques. Deep domain knowledge with RAG, RL and AI agent training and evaluation is a plus
  • A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP)
  • Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills

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