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Principal AI Research Scientist – Natural Language Processing

NLP PEOPLE

City of Edinburgh

Remote

GBP 85,000 - 120,000

Full time

Today
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Job summary

A leading AI firm is seeking a Principal AI Research Scientist specializing in Natural Language Processing to join their fully remote team in the UK. This role offers the opportunity to drive innovative research in NLP models and applications, requiring a Ph.D. and significant experience in AI research. Candidates should have a strong track record of impactful research, proficiency in deep learning frameworks, and excellent communication skills.

Qualifications

  • Ph.D. in a related field.
  • 10+ years of AI research experience focused on NLP.
  • Proven track record in impactful research.

Responsibilities

  • Lead the R&D of novel NLP algorithms.
  • Design advanced deep learning architectures.
  • Conduct research in transformer models and explainable AI.
  • Collaborate with a global team on practical applications.
  • Publish findings in top-tier conferences.

Skills

Natural Language Processing
Deep Learning
Machine Learning
Python
TensorFlow
PyTorch
Large-scale data processing
Analytical skills
Communication

Education

Ph.D. in Computer Science, Artificial Intelligence, or related field

Tools

Hugging Face Transformers
Job description
Overview

Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation.

Responsibilities
  • Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence.
  • Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation.
  • Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP.
  • Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features.
  • Publish research findings in top-tier AI conferences and journals.
  • Mentor junior researchers and contribute to the scientific growth of the team.
  • Develop and maintain high-quality, production-ready code for AI models.
  • Stay abreast of the latest advancements in NLP, machine learning, and deep learning.
  • Contribute to the strategic direction of the company’s AI research roadmap.
  • Evaluate and benchmark new models and techniques against industry standards.
Qualifications
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • 10+ years of experience in AI research, with a strong focus on Natural Language Processing.
  • Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects.
  • Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers).
  • Proficiency in programming languages such as Python.
  • Experience with large-scale data processing and distributed computing.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly.
  • Experience leading research projects and mentoring junior scientists is highly desirable.
  • This is a fully remote position, offering flexibility and the opportunity to work from anywhere.
Company

WhatJobs

Level of experience: Senior (5+ years of experience).

Tags: Industry, Language Modeling, Language Understanding, Machine Translation, NLP, United Kingdom.

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