Remote NLP Research Engineer

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary

Professional development

Flexible hours

Job summary

Placements24 is seeking a remote NLP Research Engineer to advance state-of-the-art language models, including transformers and LLMs, for applications in text generation, translation, sentiment analysis, and information extraction.

You will design, train, and evaluate models, publish findings, and collaborate with a world-class team of researchers. A strong academic background and practical experience with Python and modern NLP libraries are essential for a successful remote role.

Qualifications

• MSc or PhD in CS, Computational Linguistics, AI, or related field.

Responsibilities

• Research, design, and implement novel NLP algorithms and models (e.g., Transformers, LLMs, RNNs).
• Develop and fine-tune models for NLP tasks like text classification, NER, QA, and summarization.
• Process and analyze large volumes of text data to extract meaningful insights.

Skills

Python programming

NLP expertise

Research experience

Remote work

Publications

Education

MSc/PhD in CS / AI / Computational Linguistics

Tools

SpaCy

NLTK

Hugging Face Transformers

TensorFlow

PyTorch

Job description

About the Role

Our client, a prominent AI research lab, is looking for a talented Remote NLP Research Engineer to contribute to groundbreaking advancements in Natural Language Processing. This position is entirely remote, allowing you to collaborate with a world-class team from anywhere. You will focus on developing and refining state-of-the-art NLP models for various applications, including text generation, translation, sentiment analysis, and information extraction. The ideal candidate possesses a strong academic background in NLP or a related field, coupled with practical experience in building and deploying advanced language models. This is an exceptional opportunity to push the boundaries of AI in understanding and generating human language within a flexible, remote work environment.

Key Responsibilities

• Research, design, and implement novel NLP algorithms and models (e.g., Transformers, LLMs, RNNs).


• Develop and fine-tune models for specific NLP tasks like text classification, named entity recognition, question answering, and summarization.


• Process and analyze large volumes of text data to extract meaningful insights and features.


• Experiment with different deep learning architectures and optimization techniques.


• Evaluate model performance rigorously and iterate on improvements.


• Collaborate with other researchers and engineers on shared projects.


• Stay current with the latest research papers and trends in NLP and AI.


• Contribute to the development of robust and scalable NLP solutions.

Requirements

• M.Sc. or Ph.D. in Computer Science, Computational Linguistics, AI, or a closely related field.


• Demonstrated research experience in Natural Language Processing.


• Strong programming skills in Python and proficiency with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).


• Experience with deep learning frameworks such as TensorFlow or PyTorch.


• Solid understanding of linguistics, machine learning, and statistical modeling.


• Ability to work independently and manage time effectively in a remote setting.


• Excellent problem-solving and analytical skills.


• Publications in top-tier NLP or AI conferences (ACL, EMNLP, NeurIPS, ICML) are highly desirable.

Benefits

This fully remote position offers a competitive salary, commensurate with experience and qualifications. Our client provides a stimulating research environment with access to significant computational resources. You will have the opportunity to work on challenging and impactful NLP problems. Professional development, including conference attendance and continuous learning, is encouraged and supported. Our client values work-life balance and offers flexible working hours. Join a dedicated team of researchers focused on advancing the frontiers of natural language understanding and generation, all within a fully remote setup.