Senior AI Researcher - Natural Language Processing

Placements24

Mtubatuba Local Municipality

Hybrid

ZAR 900,000 - 1,500,000

Full time

7 days ago
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Benefits offered by this job

Fully remote
Equity potential
Global health insurance
PD budget

Job summary

Placements24 is seeking a distinguished Senior AI Researcher in NLP to join a fully remote R&D team. The role focuses on advancing language understanding, generation, and interaction through cutting-edge NLP models and research initiatives.

You will conduct experiments, train state‑of‑the‑art models, and collaborate with cross-functional teams to integrate NLP into products. A track record of impactful publications and strong transformer expertise are essential for success.

Qualifications

  • PhD with strong NLP focus and publications.
  • 6+ years of AI/NLP research experience with impactful work.
  • Deep knowledge of transformer architectures and DL models for NLP.

Responsibilities

  • Conduct state-of-the-art NLP research including sentiment analysis, translation, QA, and summarization.
  • Develop, train, and deploy advanced NLP models using TensorFlow or PyTorch.
  • Design experiments to evaluate model performance and publish results.
  • Collaborate with engineers and product teams to integrate NLP capabilities into products.
  • Publish findings in top AI venues and contribute to patents.
  • Mentor junior researchers and foster scientific excellence in a remote team.

Skills

PhD in CS/AI
6+ years NLP research
Transformers & RNNs
Python, PyTorch, TensorFlow
HuggingFace Transformers
Distributed training

Education

PhD in CS/AI/Computational Linguistics

Tools

PyTorch
TensorFlow
Hugging Face

Job description

About the Role

Our client is seeking a distinguished Senior AI Researcher with expertise in Natural Language Processing (NLP) to join their pioneering, fully remote R&D team. This role is critical for advancing the frontiers of AI by developing and implementing cutting‑edge NLP models and solutions. You will tackle complex challenges related to language understanding, generation, and interaction, contributing to groundbreaking products and research initiatives. This is an exceptional opportunity for an accomplished researcher to drive innovation in AI from anywhere, shaping the future of human‑computer interaction through advanced language technologies.

Key Responsibilities
  • Conduct state‑of‑the‑ , including areas like sentiment analysis, machine translation, question answering, and text summarization.
  • Develop, train, and deploy advanced NLP models, utilizing deep learning frameworks such as TensorFlow or PyTorch.
  • Design and execute experiments to evaluate model performance, pushing the state‑of‑the‑
  • Collaborate with cross‑functional teams, including software engineers and product managers, to integrate NLP capabilities into products and services.
  • Publish research findings in top-tier AI conferences and journals, and contribute to patent applications.
  • Mentor junior researchers and contribute to fostering a culture of scientific excellence and innovation within the remote team.
Requirements
  • Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP .
  • Minimum of 6 years of research experience in AI and Natural Language Processing , with a proven track record of impactful publications.
  • Deep understanding of transformer architectures, recurrent neural networks, and other deep learning models relevant to NLP.
  • Proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
  • Experience with large-scale datasets and distributed training is essential.
  • Excellent problem‑solving skills and the ability to work independently and collaboratively in a remote setting.
Benefits
  • Highly competitive compensation package, including potential equity.
  • Fully remote work arrangement, offering flexibility and autonomy.
  • Comprehensive global health insurance coverage.
  • Generous budget for professional development, conferences, and learning resources.
  • Opportunity to work on groundbreaking AI research with a world‑class team.
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