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Title
Text copied to clipboard!NLP Research Scientist
Description
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We are looking for an NLP Research Scientist to join our cutting-edge AI research team. As an NLP Research Scientist, you will be responsible for advancing the state-of-the-art in natural language processing through innovative research, experimentation, and implementation of novel algorithms and models. You will work closely with other researchers, data scientists, and engineers to develop scalable NLP solutions that can be integrated into real-world applications.
Your role will involve designing and conducting experiments to test hypotheses, publishing findings in top-tier conferences and journals, and contributing to the development of proprietary NLP technologies. You will also be expected to stay up-to-date with the latest advancements in the field and evaluate their applicability to our projects.
The ideal candidate will have a strong background in machine learning, deep learning, and linguistics, with a proven track record of research in NLP. You should be comfortable working in a fast-paced environment and collaborating with cross-functional teams to bring research ideas to production.
Key areas of focus may include but are not limited to: language modeling, information extraction, question answering, sentiment analysis, machine translation, and conversational AI. Experience with large language models (LLMs), transformers, and pretraining techniques is highly desirable.
This is an exciting opportunity to contribute to groundbreaking research that shapes the future of human-computer interaction and language understanding.
Responsibilities
Text copied to clipboard!- Conduct original research in natural language processing and machine learning
- Design and implement novel NLP algorithms and models
- Collaborate with cross-functional teams to integrate research into products
- Publish research findings in top-tier conferences and journals
- Stay current with advancements in NLP and related fields
- Evaluate and benchmark existing NLP models and tools
- Develop prototypes and proof-of-concept systems
- Mentor junior researchers and interns
- Contribute to open-source projects and internal knowledge sharing
- Participate in academic and industry collaborations
Requirements
Text copied to clipboard!- PhD or equivalent experience in Computer Science, Computational Linguistics, or related field
- Strong background in NLP, machine learning, and deep learning
- Proficiency in Python and ML libraries such as TensorFlow or PyTorch
- Experience with transformer-based models (e.g., BERT, GPT)
- Strong publication record in top NLP/ML conferences (e.g., ACL, EMNLP, NeurIPS)
- Excellent problem-solving and analytical skills
- Ability to work independently and in a team environment
- Strong written and verbal communication skills
- Familiarity with large-scale data processing and cloud platforms
- Experience with multilingual NLP is a plus
Potential interview questions
Text copied to clipboard!- What NLP research projects have you worked on recently?
- Can you describe a paper you published and its impact?
- How do you stay updated with the latest NLP advancements?
- What is your experience with transformer-based models?
- Have you worked on deploying NLP models in production?
- Describe a challenging NLP problem you solved.
- What programming languages and tools do you use regularly?
- How do you approach model evaluation and benchmarking?
- Have you collaborated with cross-functional teams before?
- What are your research interests within NLP?
