AI Research Engineer - NLP

About the Role

Our client is seeking a brilliant AI Research Engineer specializing in Natural Language Processing (NLP) to join their fully remote, world-class research team. This role is focused on advancing the state-of-the-art in NLP, developing novel algorithms, and creating intelligent systems that can understand and generate human language. You will collaborate with leading researchers and engineers to push the boundaries of what's possible in AI, contributing to groundbreaking projects with significant impact. This is an exceptional opportunity for an individual passionate about NLP to thrive in a flexible, innovative, and intellectually stimulating remote environment.

Key Responsibilities

• Conduct cutting-edge research in areas of NLP, including text generation, sentiment analysis, machine translation, and question answering.
• Design, implement, and evaluate novel NLP models and algorithms.
• Develop and refine large language models (LLMs) and transformer architectures.
• Process and analyze large text corpora for training and evaluation.
• Collaborate with cross-functional teams to integrate NLP capabilities into products and services.
• Publish research findings in top-tier AI conferences and journals.

Requirements

• PhD or Master's degree in Computer Science, Computational Linguistics, AI, or a related field.
• Strong publication record in leading NLP or AI conferences/journals.
• Expertise in Python and common NLP libraries (e.g., Hugging Face Transformers, NLTK, SpaCy).
• Deep understanding of modern NLP techniques, including deep learning architectures (e.g., Transformers, RNNs, LSTMs).
• Experience working with large-scale datasets and distributed computing.
• Excellent analytical, problem-solving, and communication skills for remote collaboration.

Benefits

• Competitive salary and research-focused incentives.
• Fully remote position with flexible working hours.
• Comprehensive health, dental, and vision coverage.
• Generous budget for conferences and professional development.
• Opportunity to contribute to high-impact NLP research and innovation.