Applied NLP Researcher
Posted Jun 17 · 105 applicants
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The role in plain words
- Master's degree in Computer Science, NLP, Machine Learning, or a closely related field
- Proficiency in programming languages commonly used in NLP (e.g., Python)
- Solid understanding of machine learning and deep learning principles, particularly in NLP
- Experience with major deep learning frameworks
- Proven experience with NLP projects
- Ph.D. in Computer Science, NLP, Machine Learning, or a closely related field
- Prior applied knowledge and practical experience developing and deploying NLP models in production
- Familiarity with LLM architectures (e.g., Transformers) and techniques
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure)
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Who this suits
Full job description
Original listing · kept for referenceOriginAI is a leading AI laboratory at the forefront of applied research and high impact defence solutions. Our team of top-tier experts is dedicated to advancing the state of the art in artificial intelligence, with a particular focus on developing intelligent agents and next-generation NLP systems
We are seeking a highly motivated and skilled Applied NLP Researcher to join our NLP team. The successful candidate will play a key role in developing advanced NLP capabilities and contributing to mission-critical systems. Ideal candidates bring a strong academic foundation and a proven ability to translate theoretical insights into practical, robust implementations
We combine a deep commitment to academic advancement, regularly publishing in top-tier venues, with a focus on deploying robust, operational systems that make a tangible impact in the defence domain
Core Responsibilities
The successful candidate will be responsible for a range of tasks centered on modern NLP technologies, including:
Developing and deploying task-specific agents and intelligent conversational systems
Designing and executing experiments for Large Language Model (LLM) training and fine-tuning
Establishing robust evaluation frameworks for new NLP models, agents, and applications
Implementing and optimizing prompt engineering and prompt tuning techniques to maximize model performance
Staying current with the latest research and developments in the field of NLP and Artificial Intelligence
Requirements
Master’s degree in Computer Science, NLP, Machine Learning, or a closely related field (Ph.D. an advantage)
Skills And Experience
Proficiency in programming languages commonly used in NLP (e.g., Python)
Solid understanding of machine learning and deep learning principles, particularly in the context of NLP
Experience with major deep learning frameworks
Proven experience with NLP projects
Preferred Qualifications (Advantage)
Prior applied knowledge and practical experience in developing and deploying NLP models in a production environment
Familiarity with LLM architectures (e.g., Transformers) and techniques
Experience with cloud computing platforms (e.g., AWS, GCP, Azure)
*Only relevant applications will be answered
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Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Master's degree in Computer Science, NLP, Machine Learning, or a closely related field, Proficiency in programming languages commonly used in NLP (e.g., Python), Solid understanding of machine learning and deep learning principles, particularly in NLP, Experience with major deep learning frameworks, Proven experience with NLP projects