You will see your ideas improve the experience of billions of users.","responsibilities":"In this role, you will focus on pretraining, large language model (LLM) architecture, and scientific scaling ...
You will see your ideas improve the experience of billions of users.","responsibilities":"In this role, you will focus on pretraining, large language model (LLM) architecture, and scientific scaling ...
Principal AI Software Engineer (TS/SCI + Poly)
Fort George G Meade, MD · On-site
$149K - $200K/yr
You will also work across multiple technical domains including software engineering, data science, machine learning, and large language model (LLM) integration to deliver innovative capabilities from ...
Principal AI Software Engineer (TS/SCI + Poly)
Fort George G Meade, MD · On-site
$149K - $200K/yr
You will also work across multiple technical domains including software engineering, data science, machine learning, and large language model (LLM) integration to deliver innovative capabilities from ...
Weaviate) • Build custom applications with LLM frameworks such as LangChain, DSPy • Deploy LLM ... Large Language Models and experience identifying ways to incorporate them into new areas and ...
Weaviate) • Build custom applications with LLM frameworks such as LangChain, DSPy • Deploy LLM ... Large Language Models and experience identifying ways to incorporate them into new areas and ...
Test Engineer-AI/LLM
Palo Alto, CA · On-site
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
Quick apply
Test Engineer-AI/LLM
Palo Alto, CA · On-site
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
... large language models (LLMs) and foundation models (FMs) relevant to electric power systems ... Demonstrated ability to leverage LLM and/or FM in advanced technical areas * Experience with ...
... large language models (LLMs) and foundation models (FMs) relevant to electric power systems ... Demonstrated ability to leverage LLM and/or FM in advanced technical areas * Experience with ...
Test Engineer-AI/LLM
Palo Alto, CA · On-site
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
Test Engineer-AI/LLM
Palo Alto, CA · On-site
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
We are seeking a skilled Lead Developer with expertise in Java, Python, and Large Language Models (LLM) to join our talented team. Job Summary: As a Lead Java + Python Developer, you will be ...
Quick apply
We are seeking a skilled Lead Developer with expertise in Java, Python, and Large Language Models (LLM) to join our talented team. Job Summary: As a Lead Java + Python Developer, you will be ...
The LLM Engineer will play a key role in designing, building, and deploying large language model (LLM) applications including retrieval-augmented generation (RAG) systems, agentic platforms, and ...
The LLM Engineer will play a key role in designing, building, and deploying large language model (LLM) applications including retrieval-augmented generation (RAG) systems, agentic platforms, and ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
Quick apply
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
Postdoctoral Research Associate - Large Language Model/Foundational Model
Upton, NY · On-site
$70K - $85K/yr
... large language models (LLMs) and foundation models (FMs) relevant to electric power systems ... Demonstrated ability to leverage LLM and/or FM in advanced technical areas * Experience with ...
Postdoctoral Research Associate - Large Language Model/Foundational Model
Upton, NY · On-site
$70K - $85K/yr
... large language models (LLMs) and foundation models (FMs) relevant to electric power systems ... Demonstrated ability to leverage LLM and/or FM in advanced technical areas * Experience with ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
Quick apply
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
Quick apply
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
AI Security Engineer
Texas City, TX · On-site
We are looking for an experienced AI Security Engineer with strong expertise in Cybersecurity, Application Security, and AI/ML Security to help secure Generative AI and Large Language Model (LLM ...
AI Security Engineer
Texas City, TX · On-site
We are looking for an experienced AI Security Engineer with strong expertise in Cybersecurity, Application Security, and AI/ML Security to help secure Generative AI and Large Language Model (LLM ...
AI Software Engineer I
Logan, UT · On-site
$68K - $117K/yr
Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance. * Identify and escalate bugs, performance issues, and integration failures to senior ...
AI Software Engineer I
Logan, UT · On-site
$68K - $117K/yr
Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance. * Identify and escalate bugs, performance issues, and integration failures to senior ...
Internship Large Language Model Llm information
See salary details
$9.13 - $10.47
2% of jobs
$10.47 - $11.80
2% of jobs
$11.80 - $13.13
3% of jobs
$13.13 - $14.47
17% of jobs
$14.55 is the 25th percentile. Wages below this are outliers.
$14.47 - $15.80
18% of jobs
The median wage is $16.51 / hr.
$15.80 - $17.13
16% of jobs
$17.13 - $18.47
11% of jobs
$18.89 is the 75th percentile. Wages above this are outliers.
$18.47 - $19.80
20% of jobs
$19.80 - $21.13
6% of jobs
$21.13 - $22.47
3% of jobs
$22.47 - $23.80
2% of jobs
$9
$17
$23
How much do internship large language model llm jobs pay per hour?
As of Jul 14, 2026, the average hourly pay for internship large language model llm 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 types of projects do interns typically work on during a Large Language Model (LLM) internship?
During a Large Language Model (LLM) internship, interns often participate in projects such as data preprocessing, fine-tuning models on specific tasks, evaluating model outputs, and developing tools for model interpretability. Interns may collaborate closely with research scientists and engineers, contributing to both experimental and production-level code. These projects provide practical experience with natural language processing pipelines and exposure to the latest advancements in AI, making it a valuable learning opportunity for those interested in a career in machine learning and artificial intelligence.
What are the key skills and qualifications needed to thrive as an Internship Large Language Model (LLM) specialist, and why are they important?
To thrive as an Internship Large Language Model (LLM) specialist, you need a solid grasp of machine learning fundamentals, natural language processing, and proficiency in programming languages like Python, often supported by coursework or research in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, Hugging Face Transformers, and experience using cloud platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and present complex ideas clearly. These competencies are crucial for developing, evaluating, and refining LLMs to create impactful AI solutions.
What is an Internship in Large Language Model (LLM)?
An Internship in Large Language Model (LLM) typically involves working with advanced artificial intelligence models like GPT or similar technologies. Interns in this field assist with tasks such as data preparation, model training, evaluation, and deployment of natural language processing applications. They may also contribute to research, experimentation, and development of new model features or performance improvements. This role provides hands-on experience in AI, machine learning, and natural language processing, often requiring knowledge of programming, data science, and AI concepts.
What is the difference between Internship Large Language Model Llm vs Data Scientist Intern?
| Aspect | Internship Large Language Model Llm | Data Scientist Intern |
|---|---|---|
| Required Credentials | Relevant coursework, programming skills, knowledge of NLP | Statistics, programming, data analysis |
| Work Environment | AI research labs, tech companies, startups | Data analysis teams, tech firms, research institutions |
| Employer & Industry Usage | AI development, NLP projects, machine learning | Data analysis, predictive modeling, business insights |
Both roles involve data and programming skills, but Internship Large Language Model Llm focuses on natural language processing and AI model development, while Data Scientist Interns work on analyzing data to generate insights. The choice depends on your interest in AI/NLP versus data analysis and business applications.
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What are the most commonly searched types of Large Language Model Llm jobs? The most popular types of Large Language Model Llm jobs are:
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What job categories do people searching Internship Large Language Model Llm jobs look for? The top searched job categories for Internship Large Language Model Llm jobs are:
![Machine Learning Researcher, Foundation Models [SWE Org]](https://www.ziprecruiter.com/svc/fotomat/public-nosensitive-ziprecruiter-logos/company/d890ba8d.png){kind=small}
$150K - $277K/yr
Full-time
Medical, Dental, Retirement
Re-posted yesterday
Apple rating
8.1
Based on 670 frontline employees who took The Breakroom Quiz
5th of 30 rated technology retailers
Job description
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.
Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning.
Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas improve the experience of billions of users.","responsibilities":"In this role, you will focus on pretraining, large language model (LLM) architecture, and scientific scaling of LLM. Experiences on full-stack LLM optimization such as mid-training, reinforcement learning, data research and kernel optimization (e.g. pallas and triton) will be a plus.
Preferred Qualifications
Reinforcement learning, on-policy distillation.
Post-training, mid-training large language models.
LLM context lengthening.
Minimum Qualifications
Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, ACL) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
Code large language models.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning.
Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas improve the experience of billions of users.","responsibilities":"In this role, you will focus on pretraining, large language model (LLM) architecture, and scientific scaling of LLM. Experiences on full-stack LLM optimization such as mid-training, reinforcement learning, data research and kernel optimization (e.g. pallas and triton) will be a plus.
Preferred Qualifications
Reinforcement learning, on-policy distillation.
Post-training, mid-training large language models.
LLM context lengthening.
Minimum Qualifications
Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, ACL) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
Code large language models.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976