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Senior Research Engineer

2 months ago

United Kingdom Stealth AI Startup Full time

🚀 Join Our Team as a Senior Research Engineer (Pre-training Foundational LLMs)


Are you passionate about cutting-edge AI and machine learning? Do you want to be part of a team pushing the boundaries of what's possible with large language models? We're looking for a Senior Research Engineer to help us develop foundational large language models (LLMs) from scratch.


What You'll Do:

  • Pre-train LLMs: Design and implement pre-training pipelines for state-of-the-art foundational models.
  • Data Curation: Work with massive datasets to ensure our models have the breadth and depth of knowledge they need.
  • Model Optimization: Experiment with innovative model architectures and techniques to improve performance, efficiency, and scalability.
  • Collaborate with Experts: Work alongside a team of world-class researchers, data scientists, and engineers to explore the next frontier of AI.
  • Stay Ahead of the Curve: Keep up-to-date with the latest advancements in AI research and apply them to our work.


What You Bring:

  • 3-5 years of experience in deep learning, machine learning, or NLP-related roles.
  • Strong understanding of transformers, language models, and the pre-training process.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience handling and processing large datasets.
  • Knowledge of distributed computing and model optimization techniques.
  • Curiosity, creativity, and a passion for pushing the limits of AI.


Why Join Us?

  • Work on game-changing AI technology that will shape the future of language understanding.
  • Collaborative environment with a culture of learning, growth, and innovation.
  • Competitive compensation package, including bonuses, benefits, and stock options.
  • Access to cutting-edge infrastructure and resources to support your work.


Ready to innovate and build the future of AI? Apply today and become a part of our journey to create the next generation of large language models