Natural Language Processing Engineer

DeepRec.ai

DeepRec.ai are are partnered with a a cutting-edge AI startup, led by AI Experts from MIT and Stanford, who are focused on advancing the field of neural networks. We’re currently seeking an NLP Engineer to join their Founding team. They have significant funding and are about to come out of stealth mode.

Responsibilities:

  • Design and implement various Language Models (LLMs) such as prompt engineering, chain of thought, agents, summarization, etc.
  • Contribute to the evolution of their models to enhance language understanding and performance.
  • Utilize NLP approaches to address complex language tasks and challenges.
  • Work collaboratively to design, develop, and implement solutions for language-related problems.
  • Demonstrate strong programming skills, with a focus on Python.
  • Implement and optimize data retrieval techniques to support NLP applications.
  • Familiarity with RAG (Retrieval-Augmented Generation) models is a plus.
  • Understand and contribute to tasks related to associative recall and fact extraction.
  • Work on enhancing the accuracy and efficiency of fact extraction processes.
  • Develop and implement NER systems for identifying and classifying named entities in text data.
  • Continuously improve NER algorithms to achieve high precision and recall.

Qualifications:

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience in developing and implementing various language models and NLP solutions.
  • Strong programming skills in Python.
  • Familiarity with data retrieval techniques, RAG models, associative recall, and fact extraction tasks.
  • Expertise in Named Entity Recognition (NER) and related tasks.
  • Excellent problem-solving skills and the ability to work in a dynamic, collaborative startup environment.

What We Offer:

  • Opportunity to be a founding member of a dynamic AI startup.
  • Collaborative and innovative work environment.
  • Competitive salary and equity options.
  • Remote working

To apply for this job please visit de.linkedin.com.

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