Engineering Language Model Fine-tuning Specialist

January 10, 2024

Position: Language Model Fine-tuning Specialist

Employment Type: Full Time

Salary Range: $80k – $120k

Job Overview

We are seeking a skilled professional for the role of Language Model Fine-tuning Specialist to enhance the capabilities of our language models. In this position, you will play a key role in advancing our models through your expertise in fine-tuning Large Language Models (LLMs). The ideal candidate possesses extensive knowledge in Natural Language Processing, Deep Learning architectures, and is proficient in utilizing both cloud and local hardware. Additionally, experience in deploying models on commercial SaaS platforms, including Databricks and Azure, is highly desirable. Join our collaborative team and contribute significantly to the success of our cutting-edge product.

Key Responsibilities:

  • Lead the fine-tuning process for Large Language Models (LLMs) to enhance performance across various Natural Language Processing (NLP) domains and tasks.
  • Apply deep learning and machine learning architecture expertise to customize and optimize model performance, ensuring a balance between accuracy and efficiency.
  • Collaborate with cross-functional teams to seamlessly integrate fine-tuned models into industrial-level applications and products.
  • Evaluate and pre-process large-scale text and numerical datasets for model training, ensuring the quality of inputs for optimal outcomes.
  • Provide support for the development and deployment of models on both local hardware and commercial SaaS platforms such as Databricks and Azure ML.
  • Stay abreast of the latest advancements in Large Language Models (LLMs) and implement best practices for model fine-tuning and NLP techniques.
  • If you are passionate about pushing the boundaries of language models and want to be a part of a dynamic team, we encourage you to apply. Your contributions will be instrumental in shaping the success of our innovative product.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field (Ph.D. preferred).
    Proven experience (>3 years) in fine-tuning Language Models (LLMs) with a deep understanding of LLM architectures (e.g., GPT, BERT, Transformer).
  • Extensive expertise in deep learning and machine learning, with a focus on natural language processing (NLP).
  • Hands-on experience in developing and deploying industrial-level deep learning models and applications.
  • Proficiency in utilizing local hardware for model training and deployment; experience with commercial SaaS platforms like Databricks and Azure ML is a strong plus.
  • Strong programming skills in languages such as Python, familiarity with relevant libraries (TensorFlow, PyTorch, Hugging Face Transformers, etc.).
  • Excellent problem-solving abilities and a proactive approach to addressing challenges.
  • Strong communication skills and the ability to collaborate effectively in a team environment.
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