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Natural Language Processing; NLP) Scientist

Job in Waukee, Dallas County, Iowa, 50263, USA
Listing for: Placements24
Full Time position
Listed on 2026-10-19
Job specializations:
  • Research/Development
    Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 55000 - 91000 USD Yearly USD 55000.00 91000.00 YEAR
Job Description & How to Apply Below
Position: Natural Language Processing (NLP) Scientist
About the Role

Our client is looking for an accomplished Natural Language Processing (NLP) Scientist to join their dedicated AI research team in Paarl . This role involves advancing the state-of-the-art in language understanding, generation, and interaction through rigorous research and development. You will tackle complex problems in areas such as sentiment analysis, machine translation, question answering, and conversational AI, contributing to intelligent systems that interact naturally with users.

The position offers a fantastic opportunity to work on impactful projects, collaborate with leading experts, and contribute to the future of human-computer interaction in a stimulating research environment.

Key Responsibilities
  • Conduct research and develop novel algorithms for various NLP tasks, including text classification, entity recognition, and summarization.
  • Build and fine-tune deep learning models for language understanding and generation (e.g., Transformers, LSTMs).
  • Process and analyze large text corpora, ensuring data quality and relevance.
  • Collaborate with engineers to deploy NLP models into production systems and applications.
  • Publish research findings and stay current with the latest NLP advancements.
Requirements
  • Ph.D. or Master's degree in Computer Science, Computational Linguistics, or a related field with an NLP focus.
  • Demonstrated experience in NLP research and development, with publications in relevant conferences or journals.
  • Strong programming skills in Python and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
  • Expertise in deep learning frameworks like PyTorch or Tensor Flow.
  • Excellent analytical and problem-solving abilities.
Benefits
  • Highly competitive salary and attractive bonus structure.
  • Comprehensive medical, dental, and vision coverage.
  • Generous budget for professional development, including conferences and training.
  • Access to high-performance computing resources for research in Paarl .

A collaborative and intellectually stimulating research culture.

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