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Large Language Models Researcher Jobs (NOW HIRING)

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You will have the opportunity to explore model distillation across large language models, long-context architectures, and inference-constrained environments. Your work will move from research ideas ...

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Large Language Models Researcher information

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$113.1K

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How much do large language models researcher jobs pay per year?

As of Sep 11, 2026, the average yearly pay for large language models researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Large Language Models Researcher job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

AI Researcher - Large Language Models (LLMs)

Redmond, WA • On-site

ResourceWell
See more jobs at ResourceWellexternal

Full-time

Medical, Retirement

Re-posted 9 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.

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