AI Researcher - Large Language Models (LLMs) Join our client's Research and Development (AI/ML Team) in Redmond, where innovation meets impact. Their team is at the forefront of AI research ...
AI Researcher - Large Language Models (LLMs) Join our client's Research and Development (AI/ML Team) in Redmond, where innovation meets impact. Their team is at the forefront of AI research ...
Large Language Models (LLMs) * Transformer architectures * Generative AI techniques * Model evaluation and benchmarking * Design approaches for fine-tuning, prompt engineering, and model adaptation
Large Language Models (LLMs) * Transformer architectures * Generative AI techniques * Model evaluation and benchmarking * Design approaches for fine-tuning, prompt engineering, and model adaptation
Responsibilities : • Design and deliver enterprise-grade AI solutions leveraging Generative AI and Large Language Models. • Define designs for LLM-based systems, agentic workflows, retrieval ...
Responsibilities : • Design and deliver enterprise-grade AI solutions leveraging Generative AI and Large Language Models. • Define designs for LLM-based systems, agentic workflows, retrieval ...
Responsibilities : • Design and deliver enterprise-grade AI solutions leveraging Generative AI and Large Language Models. • Define designs for LLM-based systems, agentic workflows, retrieval ...
Responsibilities : • Design and deliver enterprise-grade AI solutions leveraging Generative AI and Large Language Models. • Define designs for LLM-based systems, agentic workflows, retrieval ...
Large Language Models (LLMs) * Transformer architectures * Generative AI techniques * Model evaluation and benchmarking * Design approaches for fine-tuning, prompt engineering, and model adaptation
Large Language Models (LLMs) * Transformer architectures * Generative AI techniques * Model evaluation and benchmarking * Design approaches for fine-tuning, prompt engineering, and model adaptation
Large Language Models (LLMs) * Transformer architectures * Generative AI techniques * Model evaluation and benchmarking * Design approaches for fine-tuning, prompt engineering, and model adaptation
Large Language Models (LLMs) * Transformer architectures * Generative AI techniques * Model evaluation and benchmarking * Design approaches for fine-tuning, prompt engineering, and model adaptation
Research Intern - Memory & Orchestration in Large Language Models
Redmond, WA · On-site
$8K - $14K/mo
Microsoft Research is seeking Research Interns to join us in pushing the boundaries of Artificial Intelligence (AI) capabilities with large language models (LLMs) and multimodal models. Our mission ...
Research Intern - Memory & Orchestration in Large Language Models
Redmond, WA · On-site
$8K - $14K/mo
Microsoft Research is seeking Research Interns to join us in pushing the boundaries of Artificial Intelligence (AI) capabilities with large language models (LLMs) and multimodal models. Our mission ...
Research Intern - Memory & Orchestration in Large Language Models
Redmond, WA · On-site
$8K - $14K/mo
Microsoft Research is seeking Research Interns to join us in pushing the boundaries of Artificial Intelligence (AI) capabilities with large language models (LLMs) and multimodal models. Our mission ...
Research Intern - Memory & Orchestration in Large Language Models
Redmond, WA · On-site
$8K - $14K/mo
Microsoft Research is seeking Research Interns to join us in pushing the boundaries of Artificial Intelligence (AI) capabilities with large language models (LLMs) and multimodal models. Our mission ...
We aim to address intricate economic challenges and improve on alpha using the cutting-edge techniques of Natural Language Processing and Large Language Models Position Overview: Looking for ...
We aim to address intricate economic challenges and improve on alpha using the cutting-edge techniques of Natural Language Processing and Large Language Models Position Overview: Looking for ...
Lead Researcher, Large Language Models/LLM, TikTok
San Jose, CA · On-site
$308K - $588K/yr
... large language models; - Explore new model architecture and inference-efficient model design for LLM applications to scale impact on business - Work closely with cross-functional teams to plan and ...
Lead Researcher, Large Language Models/LLM, TikTok
San Jose, CA · On-site
$308K - $588K/yr
... large language models; - Explore new model architecture and inference-efficient model design for LLM applications to scale impact on business - Work closely with cross-functional teams to plan and ...
Machine Learning Engineer, Proactive - Large Language Models & Generative AI Inference
Cupertino, CA · On-site
$166K - $223K/yr
We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary ...
Machine Learning Engineer, Proactive - Large Language Models & Generative AI Inference
Cupertino, CA · On-site
$166K - $223K/yr
We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary ...
PhD Research Intern
Palo Alto, CA · On-site
PhD Intern Where multiple locations are listed for this role, the position may be based in any of ... Reinforcement learning, Large language/vision-language models, Computer vision and multimodal ...
PhD Research Intern
Palo Alto, CA · On-site
PhD Intern Where multiple locations are listed for this role, the position may be based in any of ... Reinforcement learning, Large language/vision-language models, Computer vision and multimodal ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
Santa Clara, CA · On-site
$17.50 - $23.50/hr
Develop and prototype reinforcement learning algorithms for large language models * Explore methods ... You will also be eligible for Intern benefits. Applications for this job will be accepted at least ...
Applied Deep Learning PhD Research Intern, Reinforcement Learning for LLMs - Fall 2026
Santa Clara, CA · On-site
$17.50 - $23.50/hr
Develop and prototype reinforcement learning algorithms for large language models * Explore methods ... You will also be eligible for Intern benefits. Applications for this job will be accepted at least ...
Large Language Models (LLMs) * Retrieval-Augmented Generation (RAG) * LangChain * Hugging Face * LlamaIndex * Vector Databases * Embeddings * Machine Learning Model Deployment * AWS Cloud Services
Large Language Models (LLMs) * Retrieval-Augmented Generation (RAG) * LangChain * Hugging Face * LlamaIndex * Vector Databases * Embeddings * Machine Learning Model Deployment * AWS Cloud Services
Intern, ADAS/AD Software Engineering - AI Deployment
San Jose, CA · On-site
$38 - $42/hr
... large language models). * Implement and maintain software interfaces between the model runtime and ... Intern, ADAS/AD Software Engineering - AI Deployment Worldwide, the Volkswagen Group has a long ...
Intern, ADAS/AD Software Engineering - AI Deployment
San Jose, CA · On-site
$38 - $42/hr
... large language models). * Implement and maintain software interfaces between the model runtime and ... Intern, ADAS/AD Software Engineering - AI Deployment Worldwide, the Volkswagen Group has a long ...
Large Language Models (LLMs) * Retrieval-Augmented Generation (RAG) * LangChain * Hugging Face * LlamaIndex * Vector Databases * Embeddings * Machine Learning Model Deployment * AWS Cloud Services
Large Language Models (LLMs) * Retrieval-Augmented Generation (RAG) * LangChain * Hugging Face * LlamaIndex * Vector Databases * Embeddings * Machine Learning Model Deployment * AWS Cloud Services
Machine Learning Engineer, Proactive - Large Language Models & Generative AI Inference
$147K - $272K/yr
We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary ...
Machine Learning Engineer, Proactive - Large Language Models & Generative AI Inference
$147K - $272K/yr
We are in search of an accomplished and driven Machine Learning Engineer who has a robust understanding of Large Language Models, Generative AI and high-performance systems computing. Your primary ...
ML PhD Intern - LLMs & Generative AI Truveta is the world's first health provider led data platform ... Collaborate with researchers and engineers to design, develop, and refine large language models and ...
ML PhD Intern - LLMs & Generative AI Truveta is the world's first health provider led data platform ... Collaborate with researchers and engineers to design, develop, and refine large language models and ...
... large language models relevant to electric power systems. The role involves developing and implementing AI and ML techniques for power system planning and cybersecurity. Responsibilities : • ...
... large language models relevant to electric power systems. The role involves developing and implementing AI and ML techniques for power system planning and cybersecurity. Responsibilities : • ...
Brookhaven National Laboratory is seeking a Postdoctoral Research Associate to perform research using artificial intelligence and machine learning focused on large language models and foundational ...
Brookhaven National Laboratory is seeking a Postdoctoral Research Associate to perform research using artificial intelligence and machine learning focused on large language models and foundational ...
Large Language Models Intern information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do large language models intern jobs pay per year?
As of Jun 7, 2026, the average yearly pay for large language models intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Large Language Models Intern, and why are they important?
To thrive as a Large Language Models Intern, you need a strong background in computer science, mathematics, and machine learning, typically supported by coursework or experience in natural language processing (NLP). Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and version control systems like Git is essential. Curiosity, problem-solving ability, and effective communication are important soft skills that help you collaborate and innovate in research-driven environments. These skills and qualities are vital for contributing to cutting-edge AI projects and adapting to the rapidly evolving field of large language models.
What does a Large Language Models Intern do?
A Large Language Models Intern assists in the research, development, and evaluation of advanced AI models that process and generate human language, such as GPT or BERT. Their work may include data preprocessing, designing and testing model architectures, fine-tuning existing models, and analyzing results. Interns often collaborate with machine learning engineers and researchers to contribute to ongoing projects, learning about the latest advancements in natural language processing (NLP). They may also help in writing code, preparing reports, and presenting findings. This role is ideal for those interested in AI, computational linguistics, or software engineering.
What types of projects can a Large Language Models Intern expect to work on during their internship?
As a Large Language Models Intern, you can expect to work on a variety of projects such as data preprocessing, model fine-tuning, performance evaluation, and the development of new features for natural language processing applications. Interns often collaborate closely with research scientists and machine learning engineers to analyze model outputs, experiment with novel architectures, and contribute to the improvement of existing language models. This role provides an excellent opportunity to gain hands-on experience with state-of-the-art NLP technologies, and to make meaningful contributions to ongoing research or product development.
Full-time
Medical, Retirement
Posted 4 days ago
Job description
AI Researcher - Large Language Models (LLMs) Join our client's Research and Development (AI/ML Team) in Redmond, where innovation meets impact. Their team is at the forefront of AI research, specialising in cutting-edge advancements in Large Language Models (LLMs) and generative AI. They offer a dynamic, collaborative environment where visionary researchers drive transformative projects with real-world impact.
What You'll Do As an AI Researcher, you will: Conduct pioneering research on LLMs, focusing on architecture, training, optimization, and fine-tuning methodologies. Design and implement advanced data preparation workflows, including data cleaning, augmentation, and synthetic data generation. Develop scalable training pipelines for LLMs using distributed computing and state-of-the-art optimization algorithms.
Explore multi-modal AI systems, integrating LLMs with other data types such as vision and audio. Publish high-impact research in top-tier journals and conferences like IEEE, enhancing the field of AI. Mentor junior researchers, sharing best practices to inspire impactful AI innovations.
Stay at the cutting edge of LLM advancements, fostering continuous learning and innovation within the team. Requirements Required Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with research emphasis on NLP, LLMs, or generative AI
Demonstrated expertise in training and fine-tuning large-scale language models (e.g., GPT, BERT, T5). Strong publication record in IEEE or equivalent journals/conferences related to LLM training, data preparation, or synthetic data generation. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX
Hands-on experience in large-scale data processing and distributed training techniques. Preferred Qualifications: Experience with RAG and multi-modal AI systems. Expertise in domain-specific LLM fine-tuning and data augmentation.
Familiarity with synthetic data generation tools and platforms like Apache Spark or Dask. Proven leadership and mentoring abilities in a research settings. Benefits What Our Client Offers Competitive Salary: Reflective of your expertise and experience.
Cutting-Edge Infrastructure: Access to state-of-the-art computational resources for large-scale AI model training. Professional Growth: Opportunities to publish in prestigious venues and collaborate with leading AI experts. Real-World Impact: Be a part of transformative AI projects shaping industries.
Comprehensive Benefits: Robust health coverage, retirement plans, and more. Why Join Our Client. By joining, you will: Lead groundbreaking research in the field of LLMs and generative AI.
Collaborate with a team of industry-leading AI researchers. Drive innovation in a supportive and dynamic environment. Contribute to projects with significant societal and industrial implications.
Next Steps Ready to revolutionize the future of AI. Apply today. Applications will be reviewed on a rolling basis.
Location This position is based in Redmond. Equal Opportunity We value diversity and are committed to creating an inclusive environment for all employees.