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 ...
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 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 ...
... 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 ...
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 ...
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 ...
... 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 ...
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 ...
Quick apply
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
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
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 ...
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
Aurora, CO · On-site
Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc ... Large Language Models and experience identifying ways to incorporate them into new areas and ...
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
Aurora, CO · On-site
Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc ... Large Language Models and experience identifying ways to incorporate them into new areas and ...
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 15, 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:
What states have the most Internship Large Language Model Llm jobs? States with the most job openings for Internship Large Language Model Llm jobs include:
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:
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S}
Lewiston, MI • On-site
Full-time
Posted 14 days ago
Job description
Job Summary:
Danbury Mission Technologies is an advanced technologies company serving the U.S. military and intelligence community. The Principal AI/ML Engineer will support the development of AI/ML algorithms across various disciplines, leading a team to implement solutions for complex challenges.
Responsibilities:
• Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
• Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
• Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
• Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
• Build custom applications with LLM frameworks such as LangChain, DSPy
• Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
• Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
• Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
• Interface with both internal and external leadership to communicate technical status
Qualifications:
Required:
• BS in machine learning, computer science, mathematics, or related fields.
• 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
• Fine-tuning foundational models
• Steering Techniques (e.g Sparse auto encoders, representation tuning)
• Building adapters to use foundational models (e.g. PEFT, llama factory)
• Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
• Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
• Using LLM Frameworks (e.g. LangChain, DSPy)
• Using AI APIs ( e.g AWS Bedrock, OpenAI)
• Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
• Developing UIs with ReAct
• Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
• Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
• Active TS/SCI U.S. Government Security Clearance
Preferred:
• MS or PhD in machine learning, computer science, mathematics, or related fields.
• Experience leading an interdisciplinary team of researchers and software developers
• Experience with any of the following Computer Vision domains:
• Large Language Models and experience identifying ways to incorporate them into new areas and applications
• Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
• Object detection algorithms such as YOLO and Faster-RCNN
• Natural Language Processing algorithms such as BERT
• Generative Adversarial Networks and Variational Autoencoders
• Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
• Applying clustering algorithms and/or deep neural networks to real life problems
• Implementing tracking and pattern-of-life algorithms
• Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
• Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
• Experience with Linux
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
• Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
• Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
• Experience with implementing tracking and pattern-of-life algorithms
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
• Experience shaping and writing proposals
Company:
This page is no longer active. Visit ARKA.org. Founded in , the company is headquartered in Danbury, Connecticut, US, , with a team of 501-1000 employees. The company is currently Late Stage.
Danbury Mission Technologies is an advanced technologies company serving the U.S. military and intelligence community. The Principal AI/ML Engineer will support the development of AI/ML algorithms across various disciplines, leading a team to implement solutions for complex challenges.
Responsibilities:
• Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
• Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
• Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
• Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
• Build custom applications with LLM frameworks such as LangChain, DSPy
• Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
• Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
• Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
• Interface with both internal and external leadership to communicate technical status
Qualifications:
Required:
• BS in machine learning, computer science, mathematics, or related fields.
• 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
• Fine-tuning foundational models
• Steering Techniques (e.g Sparse auto encoders, representation tuning)
• Building adapters to use foundational models (e.g. PEFT, llama factory)
• Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
• Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
• Using LLM Frameworks (e.g. LangChain, DSPy)
• Using AI APIs ( e.g AWS Bedrock, OpenAI)
• Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
• Developing UIs with ReAct
• Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
• Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
• Active TS/SCI U.S. Government Security Clearance
Preferred:
• MS or PhD in machine learning, computer science, mathematics, or related fields.
• Experience leading an interdisciplinary team of researchers and software developers
• Experience with any of the following Computer Vision domains:
• Large Language Models and experience identifying ways to incorporate them into new areas and applications
• Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
• Object detection algorithms such as YOLO and Faster-RCNN
• Natural Language Processing algorithms such as BERT
• Generative Adversarial Networks and Variational Autoencoders
• Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
• Applying clustering algorithms and/or deep neural networks to real life problems
• Implementing tracking and pattern-of-life algorithms
• Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
• Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
• Experience with Linux
• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
• Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
• Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
• Experience with implementing tracking and pattern-of-life algorithms
• Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
• Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
• Experience shaping and writing proposals
Company:
This page is no longer active. Visit ARKA.org. Founded in , the company is headquartered in Danbury, Connecticut, US, , with a team of 501-1000 employees. The company is currently Late Stage.
About Danbury Mission Technologies
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Danbury, CT, US