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Senior Research Engineer

2 months ago

United Kingdom Stealth AI Full time

Now Hiring: Senior Research Engineer (Fine-Tuning Large Language Models)

Are you an experienced AI researcher passionate about fine-tuning large language models (LLMs) for real-world applications? We're seeking a Senior Research Engineer to join our dynamic team and lead efforts in advancing the fine-tuning process of state-of-the-art LLMs.


Role Overview:

As a Senior Research Engineer, you will take charge of fine-tuning large-scale pre-trained models to meet specific tasks and performance benchmarks. You'll have the opportunity to innovate, experiment, and implement novel techniques that make LLMs smarter, faster, and more adaptable.


Key Responsibilities:

  • Fine-Tuning Expertise: Lead the development and execution of advanced fine-tuning methodologies for LLMs to solve domain-specific problems.
  • Model Evaluation & Optimization: Analyze and refine models for accuracy, efficiency, and performance using cutting-edge techniques like few-shot learning, RLHF, and task-specific tuning.
  • Data Engineering: Curate and preprocess training data to maximize model performance for diverse applications.
  • Cross-Functional Collaboration: Work closely with machine learning researchers, data scientists, and product teams to integrate fine-tuned models into production environments.
  • Research & Innovation: Stay at the forefront of AI advancements by exploring new techniques and contributing to the AI research community.


What We’re Looking For:

  • 5+ years of experience in machine learning or NLP, with a focus on deep learning and fine-tuning large models.
  • In-depth understanding of LLM architectures, including transformers, and hands-on experience in fine-tuning large-scale models .
  • Proficiency in Python , with expertise in deep learning frameworks like PyTorch or TensorFlow .
  • Familiarity with techniques such as transfer learning, prompt engineering , and reinforcement learning for language models .
  • A strong background in handling large datasets and optimizing model performance.
  • Proven track record of research and innovation in the AI/ML field, including published papers or significant project contributions.