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Llm Research Intern Jobs (NOW HIRING)

Phoebe

Software Engineering Intern

New York, NY · On-site

Feel free to apply if you're interested in UI/UX or are looking for a ML research intern role as ... LLM orchestration across prompt engineering, tool use, context management, and evals that keep ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

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 ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

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 ...

Workato

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 ...

Workato

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 ...

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How much do llm research intern jobs pay per month?

As of Sep 5, 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 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.

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 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.
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Llm Research Intern jobs near you
Infographic showing various Llm Research Intern job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026

Nvidia Corporation

Santa Clara, CA • On-site

$17.50 - $23.50/hr

Full-time

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped pioneer projects such as Megatron, MT-NLG, and DLSS. We build state-of-the-art foundation models and develop new methods to improve their reasoning, alignment, reliability, and ability to solve real-world tasks.
This internship will focus on algorithmic research at the intersection of reinforcement learning and large language models. You will design, implement, and evaluate new RL-based methods for improving LLM behavior, with a strong emphasis on hands-on experimentation and rapid prototyping at scale.
What you will be doing:
  • Develop and prototype reinforcement learning algorithms for large language models
  • Explore methods for improving reasoning, alignment, instruction following, and multi-turn interaction
  • Design experiments to evaluate model behavior, robustness, hallucination, and task performance
  • Implement research ideas in Python and PyTorch, and run experiments on large-scale GPU clusters

What we need to see:
  • Pursuing a PhD in AI, ML, CS, CE, EE, Math, Physics, or a related field
  • Strong background in reinforcement learning and natural language processing
  • Excellent programming skills, especially in Python
  • Experience with deep learning frameworks such as PyTorch
  • Comfort with experimental research, debugging models, and working with large-scale training pipelines

Ways to stand out from the crowd:
  • Publications or open-source contributions in RL, LLMs, alignment, reasoning, or post-training
  • Experience with RLHF, RLAIF, policy optimization, reward modeling, or agentic LLM systems
  • Strong intuition for both algorithms and large-scale implementation

If you are excited about using reinforcement learning to make language models more capable, reliable, and useful, this team could be a great fit.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until May 10, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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