Posted 1y ago

AI Researcher – Large Language Models (LLMs)

@ Centific
Redmond, Washington, United States
OnsiteFull Time
Responsibilities:Research, Mentor researchers, Publish findings
Requirements Summary:PhD in CS/AI with NLP/LLM focus; proven LLM training/fine-tuning; strong publications; deep learning frameworks (TensorFlow, PyTorch, JAX); distributed training experience.
Technical Tools Mentioned:TensorFlow, PyTorch, JAX, Apache Spark, Dask
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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.