4 Remote AI Research Scientist Nlp jobs in whatjobs
Remote AI Research Scientist - NLP
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking an innovative and highly skilled Remote AI Research Scientist specializing in Natural Language Processing (NLP) to join their cutting-edge research team. This is a fully remote position, offering an exciting opportunity to push the boundaries of AI from your preferred location. You will be responsible for conducting research, developing novel algorithms, and building advanced NLP models to solve complex challenges. Your work will involve areas such as sentiment analysis, text generation, machine translation, information extraction, and question answering. The ideal candidate possesses a strong academic background, significant hands-on experience in deep learning frameworks, and a passion for advancing the field of NLP. You should be proficient in programming languages like Python and have extensive experience with libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. Excellent problem-solving skills, a keen understanding of research methodologies, and the ability to publish findings in top-tier conferences or journals are essential. You will collaborate with other researchers and engineers to translate research breakthroughs into practical applications.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP) and related AI fields.
- Develop and implement novel NLP algorithms and models.
- Design, train, and evaluate deep learning models for various NLP tasks.
- Stay abreast of the latest advancements in NLP research and literature.
- Collaborate with cross-functional teams to integrate NLP solutions into products and services.
- Analyze and interpret large datasets to extract meaningful insights.
- Publish research findings in reputable journals and present at conferences.
- Contribute to the development of AI strategies and roadmaps.
- Mentor junior researchers and engineers.
- Evaluate and benchmark state-of-the-art NLP techniques.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a focus on NLP.
- Proven track record of research contributions in NLP, demonstrated through publications or patents.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in Python programming and NLP libraries (e.g., NLTK, SpaCy, Transformers).
- Strong understanding of machine learning algorithms and statistical modeling.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote teamwork.
- Ability to work independently and manage research projects effectively.
This advertiser has chosen not to accept applicants from your region.
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Remote AI Research Scientist - NLP
Posted 19 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a brilliant and driven Remote AI Research Scientist specializing in Natural Language Processing (NLP). This role offers a unique opportunity to conduct cutting-edge research and develop advanced NLP models and algorithms. While the position is primarily remote, occasional collaborative sessions or project reviews at the office may be required. You will work on challenging problems, pushing the boundaries of what's possible with artificial intelligence. The ideal candidate will have a strong academic background, a passion for research, and a proven ability to translate theoretical concepts into practical applications.
Key Responsibilities:
Key Responsibilities:
- Conduct research and develop novel algorithms and models for various NLP tasks, including text classification, sentiment analysis, machine translation, and question answering.
- Design and implement experiments to evaluate the performance of NLP models.
- Stay abreast of the latest research trends and breakthroughs in NLP and machine learning.
- Collaborate with engineering teams to integrate research findings into production systems.
- Publish research findings in top-tier conferences and journals.
- Develop and maintain code for NLP models and experiments, ensuring reproducibility and scalability.
- Contribute to the overall AI strategy and research roadmap of the company.
- Mentor junior researchers and interns.
- Analyze large datasets to extract insights and inform model development.
- Ensure ethical considerations and bias mitigation are addressed in AI research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
- Proven track record of research in Natural Language Processing, evidenced by publications or contributions to open-source projects.
- Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Expertise in NLP libraries and tools (e.g., NLTK, SpaCy, Hugging Face Transformers).
- Solid understanding of machine learning, deep learning, and statistical modeling techniques.
- Experience with large language models (LLMs) and their applications.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to clearly articulate complex research concepts.
- Ability to work effectively both independently and as part of a research team in a hybrid environment.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
This advertiser has chosen not to accept applicants from your region.
1
Remote AI Research Scientist - NLP
Posted 19 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is looking for a brilliant and driven Remote AI Research Scientist specializing in Natural Language Processing (NLP) to join their world-class research team. This position offers a fully remote work environment, allowing you to contribute to groundbreaking projects from anywhere. You will be instrumental in developing and implementing state-of-the-art NLP models and algorithms, pushing the boundaries of what's possible in understanding and generating human language. Your work will directly impact the core products and future direction of the company.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced NLP models and algorithms for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Conduct cutting-edge research in areas of deep learning, transformer architectures, large language models (LLMs), and other relevant NLP subfields.
- Analyze and interpret large datasets to extract insights and inform model development.
- Collaborate with engineers and product managers to integrate research findings into production systems.
- Stay up-to-date with the latest academic research and industry advancements in AI and NLP.
- Publish research findings in top-tier conferences and journals.
- Develop and maintain robust, scalable, and efficient code for research and development.
- Mentor junior researchers and contribute to the team's knowledge sharing.
- Contribute to the formulation of the company's AI research roadmap.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong theoretical and practical understanding of NLP concepts and techniques.
- Proven experience in developing and deploying NLP models using frameworks like TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages such as Python.
- Experience with large language models (e.g., BERT, GPT variants) and fine-tuning strategies.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts.
- Demonstrated ability to work independently and collaboratively in a remote setting.
- Publication record in reputable AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP) is highly desirable.
This advertiser has chosen not to accept applicants from your region.
2
Remote AI Research Scientist - NLP
Posted 16 days ago
Job Viewed
Job Description
Our client, a cutting-edge AI research lab dedicated to pushing the boundaries of artificial intelligence, is seeking a brilliant and innovative Remote AI Research Scientist specializing in Natural Language Processing (NLP). This fully remote position is an opportunity to contribute to groundbreaking research and development in areas such as language understanding, generation, and conversational AI. You will collaborate with a world-class team of AI experts, applying state-of-the-art machine learning techniques to solve complex linguistic challenges. Your work will involve developing novel algorithms, conducting rigorous experiments, and contributing to high-impact publications and products.
Responsibilities:
Responsibilities:
- Conduct research in Natural Language Processing (NLP), including areas such as text generation, sentiment analysis, machine translation, and question answering.
- Develop and implement novel deep learning models and algorithms for NLP tasks.
- Design and execute experiments to evaluate the performance of AI models.
- Analyze large text datasets to extract insights and train models.
- Collaborate with other researchers and engineers to integrate AI models into applications and platforms.
- Stay current with the latest advancements in AI, machine learning, and NLP research.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and interns.
- Ensure ethical considerations are integrated into AI development.
- Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field with a strong focus on NLP.
- Proven track record of research in NLP, evidenced by publications in reputable venues.
- Deep understanding of machine learning principles, especially deep learning architectures (e.g., Transformers, LSTMs, CNNs).
- Proficiency in programming languages such as Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
- Experience with NLP libraries and toolkits (e.g., spaCy, NLTK, Hugging Face Transformers).
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, essential for working effectively in a remote research environment.
- Ability to work independently and manage research projects from conception to completion.
- Experience with large-scale data processing and distributed computing is a plus.
- Familiarity with emerging AI technologies and their applications.
This advertiser has chosen not to accept applicants from your region.
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