POSTED May 29

Machine Learning Engineer (NLP) at Diffusion Labs

  • Programming
  • Fulltime
  • Anywhere (100% Remote) Only
Job Description

We are looking for a motivated NLP (Natural Language Processing) Researcher with a deep understanding of machine learning models and strong experience in building large language models. In this role, you will conduct cutting-edge research in NLP, develop innovative solutions for complex problems, and apply your knowledge of smart contracts. The ideal candidate is currently pursuing or has completed a PhD in a relevant field and has a passion for turning theoretical understanding into practical solutions.

Key Responsibilities:

  • Conduct advanced research in NLP, focusing on the design and integration of large language models.
  • Apply state-of-the-art NLP techniques to improve our systems and contribute to the development of novel algorithms.
  • Collaborate closely with the engineering team to bring successful prototypes to production.
  • Assist in implementing NLP solutions into smart contract applications.
  • Develop tools to monitor and analyze the performance of NLP models.

Desired Experience:

  • Currently pursuing or holding a PhD in Computer Science, Artificial Intelligence, Linguistics, or related field with a focus on Natural Language Processing.
  • Proven experience in building large language models.
  • Deep understanding of modern machine learning techniques and their mathematical underpinning, such as neural networks, classification, clustering, and deep learning.
  • Familiarity with smart contracts and blockchain technology.
  • Strong programming skills in Python and familiarity with NLP libraries (e.g., NLTK, SpaCy, Hugging Face).
  • Proficient in deep learning frameworks such as TensorFlow or PyTorch.
  • Demonstrated ability to work independently and collaboratively in a team setting.
  • Excellent communication skills with the ability to present complex scientific concepts in a clear and concise manner.
  • Published papers in renowned scientific journals or conferences is a plus. 

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