AI Researcher – Large Language Models (LLMs)

ResourceWell
  • Redmond, Washington
    30+ 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.



    Numbers & Facts

    LocationRedmond, Washington
    Websitewww.resourcewell.net

    Skills

    • Apache Sparkunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Computer Scienceunmatched
    • Conferencesunmatched
    • Data Cleaningunmatched
    • Data Processingunmatched
    • Deep Learningunmatched
    • Distributed Computingunmatched
    • Diversityunmatched
    • Environmental Researchunmatched
    • IEEE (Institute of Electrical and Electronic Engineers)unmatched
    • JAX (Java API for XML)unmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Modeling Languagesunmatched
    • Natural Language Processing (NLP)unmatched
    • Optimization Algorithmunmatched
    • Publicationsunmatched
    • Research & Development (R&D)unmatched
    • Research Skillsunmatched
    • Scalable System Developmentunmatched
    • Team Playerunmatched

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