6 AI Research Scientist Nlp jobs in whatjobs
AI Research Scientist (NLP)
Posted 20 days ago
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Job Description
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- Extensive research experience in NLP, with a proven publication record in leading AI/NLP conferences and journals (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python.
- Strong theoretical understanding of machine learning, statistical modeling, and various NLP techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote research setting.
- Exceptional communication skills to present complex research findings clearly.
Job Description
AI Research Scientist - NLP
Posted 20 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas such as text generation, sentiment analysis, machine translation, question answering, and dialogue systems.
- Develop and implement novel deep learning architectures and algorithms for NLP tasks.
- Design and execute experiments to evaluate model performance, analyze results, and iterate on designs.
- Stay abreast of the latest research papers, trends, and techniques in AI, machine learning, and NLP.
- Collaborate with engineers to translate research prototypes into production-ready systems.
- Publish research findings in top-tier AI conferences and journals.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and interns.
- Present research findings to technical and non-technical audiences.
- Contribute to shaping the long-term research agenda in AI and NLP for the company.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on NLP.
- 5+ years of experience in AI/ML research, with at least 3 years dedicated to NLP.
- Proven track record of publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
- Strong theoretical understanding and practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Expertise in NLP techniques, including transformer models, recurrent neural networks (RNNs), and convolutional neural networks (CNNs) for text.
- Proficiency in programming languages such as Python.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, capable of working effectively in a hybrid environment.
- Ability to work independently and drive research initiatives forward.
Job Description
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP) and Machine Learning.
- Develop and implement novel NLP algorithms and models.
- Design and execute experiments to evaluate model performance.
- Analyze and interpret complex linguistic data.
- Stay abreast of the latest advancements in AI, NLP, and deep learning.
- Collaborate with other researchers and engineers on interdisciplinary projects.
- Publish research findings in top academic conferences and journals.
- Contribute to the development of open-source AI tools and libraries.
- Translate research insights into practical applications and product features.
- Mentor junior researchers and interns.
- Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field with a specialization in NLP.
- 3+ years of post-doctoral research experience or equivalent industry research experience in NLP.
- Proven track record of publications in top-tier NLP/AI conferences (e.g., ACL, EMNLP, NeurIPS).
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (Python).
- Strong understanding of machine learning principles, statistical modeling, and algorithms.
- Experience with various NLP tasks, including but not limited to, text classification, NER, sentiment analysis, translation, and generation.
- Familiarity with large language models (LLMs) and their applications.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a fast-paced, remote research environment.
AI Research Scientist - NLP
Posted 10 days ago
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Job Description
AI Research Scientist - NLP
Posted 4 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas such as text generation, sentiment analysis, machine translation, and information extraction.
- Develop and implement novel algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Collaborate with a team of researchers and engineers to design, build, and evaluate AI systems.
- Stay abreast of the latest advancements in AI, machine learning, and NLP research through literature review and conference participation.
- Publish research findings in top-tier academic conferences and journals.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the development of robust and scalable AI solutions.
- Work with large datasets, perform data preprocessing, and ensure data quality for model training.
- Analyze and interpret experimental results, drawing meaningful conclusions and informing future research directions.
- Mentor junior researchers and engineers as needed.
- Present research findings to technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a focus on NLP.
- Proven research experience in NLP, demonstrated by publications, patents, or significant project contributions.
- Strong theoretical and practical understanding of machine learning, deep learning, and NLP techniques.
- Proficiency in programming languages such as Python and experience with relevant libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote, international team.
- Ability to work independently and drive research initiatives forward.
- Passion for AI and a desire to push the boundaries of what's possible.
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