19,903 Natural Language Processing jobs in the United States
AI Research Scientist, Natural Language Processing
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Key Responsibilities:
- Conduct research and develop novel NLP algorithms and models.
- Implement and evaluate state-of-the-art techniques in areas like sentiment analysis and machine translation.
- Collaborate with research teams to advance AI capabilities.
- Publish research findings in top-tier conferences and journals.
- Develop and maintain NLP software components and libraries.
- Analyze and process large text datasets.
- Stay abreast of the latest advancements in AI and NLP research.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, or a related field with a specialization in NLP.
- Minimum of 5 years of research experience in NLP and machine learning.
- Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face, NLTK).
- Strong understanding of linguistics, machine learning theory, and statistical methods.
- Experience with large-scale data processing and model training.
- Excellent publication record in reputable AI venues.
- Strong analytical and problem-solving skills.
AI Research Scientist (Natural Language Processing)
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- Conducting original research in NLP, including areas such as sentiment analysis, text generation, machine translation, and question answering.
- Developing, training, and evaluating state-of-the-art NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Designing and implementing novel algorithms and architectures for language understanding and generation.
- Collaborating with engineering teams to deploy NLP models into production environments.
- Publishing research findings in top-tier AI conferences and journals.
- Analyzing large datasets of text and speech to extract insights and inform model development.
- Staying current with the latest advancements in AI, machine learning, and NLP research.
- Mentoring junior researchers and contributing to the lab's research roadmap.
- Developing benchmarks and evaluation metrics for NLP tasks.
- Contributing to open-source NLP libraries and tools.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- Proven track record of research publications in leading AI/NLP venues.
- Extensive experience with NLP techniques and frameworks (e.g., transformers, BERT, GPT).
- Proficiency in Python and machine learning libraries.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Strong understanding of statistical methods and data analysis.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong written and verbal communication skills.
AI Research Scientist, Natural Language Processing
Posted today
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Job Description
AI Research Scientist - Natural Language Processing
Posted today
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Job Description
AI Research Scientist - Natural Language Processing
Posted today
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Job Description
AI Research Scientist - Natural Language Processing
Posted today
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Job Description
The ideal candidate possesses a Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong publication record in NLP. You will work with massive datasets, cutting-edge deep learning frameworks, and collaborate with a world-class team of researchers and engineers to create intelligent systems that transform industries.
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas like machine translation, text generation, sentiment analysis, question answering, and dialogue systems.
- Develop and implement novel deep learning models for NLP tasks using frameworks such as TensorFlow, PyTorch, or JAX.
- Design and execute experiments to evaluate model performance and identify areas for improvement.
- Analyze and process large-scale text datasets, ensuring data quality and relevance.
- Collaborate with software engineers to prototype and deploy NLP models into production environments.
- Stay abreast of the latest research trends and advancements in NLP and machine learning.
- Publish research findings in leading AI conferences and journals.
- Contribute to the development of intellectual property and patent filings.
- Mentor junior researchers and interns on NLP projects.
- Present research findings to internal teams and external audiences.
- Develop efficient algorithms and optimize model architectures for performance and scalability.
- Explore novel applications of NLP in various domains, identifying opportunities for innovation.
- Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a closely related field with a strong focus on NLP.
- Proven track record of research excellence with publications in top NLP/AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Deep understanding of deep learning architectures for NLP (e.g., Transformers, RNNs, LSTMs, CNNs).
- Proficiency in Python and major deep learning libraries (TensorFlow, PyTorch, Keras).
- Experience with large language models (LLMs) and transformer-based architectures.
- Solid understanding of statistical methods, machine learning algorithms, and evaluation metrics.
- Experience with big data processing frameworks (e.g., Spark) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a research-intensive environment.
AI Research Scientist - Natural Language Processing
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Responsibilities:
- Conduct advanced research in Natural Language Processing, including areas such as sentiment analysis, text generation, machine translation, and question answering.
- Develop and implement novel machine learning algorithms and deep learning architectures for NLP tasks.
- Design and execute experiments to evaluate model performance and identify areas for improvement.
- Collaborate with a multidisciplinary team of researchers, engineers, and product managers to translate research findings into practical applications.
- Stay abreast of the latest research papers, trends, and technologies in AI, machine learning, and NLP.
- Publish research findings in top-tier scientific conferences and journals.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and interns, fostering a collaborative and innovative research environment.
- Work with large-scale datasets, ensuring data quality and preparing data for model training.
- Present research progress and findings to technical and non-technical audiences.
- Contribute to the overall strategic direction of the AI research division.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Proven track record of research and development in Natural Language Processing, demonstrated through publications, patents, or significant project contributions.
- Expertise in programming languages such as Python, and proficiency with AI/ML frameworks like TensorFlow, PyTorch, or Keras.
- Deep understanding of statistical modeling, machine learning algorithms, and deep learning techniques.
- Experience with large language models (LLMs) and transformer architectures.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
- Ability to work independently and collaboratively in a research-intensive environment.
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
- A passion for pushing the boundaries of AI research.
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AI Research Scientist - Natural Language Processing
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas such as text classification, sentiment analysis, machine translation, question answering, and language generation.
- Develop, implement, and evaluate novel machine learning models and algorithms for NLP tasks.
- Process, clean, and analyze large-scale text datasets to train and refine NLP models.
- Utilize deep learning frameworks such as TensorFlow, PyTorch, or Keras for model development.
- Design and conduct experiments to assess the performance and efficiency of NLP solutions.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI/NLP capabilities into new and existing products.
- Stay abreast of the latest research papers, advancements, and trends in NLP and machine learning.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts for novel AI applications.
- Contribute to the intellectual property portfolio through invention disclosures and patent applications.
- Mentor junior researchers and engineers, sharing knowledge and expertise.
- Present research findings and technical concepts to both technical and non-technical audiences.
- Contribute to the strategic direction of AI research within the organization.
- Ensure responsible AI practices and ethical considerations are integrated into research and development.
- Optimize model performance for deployment in real-world applications.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- Proven track record of research and development in NLP, demonstrated through publications, patents, or significant project contributions.
- Expertise in machine learning techniques relevant to NLP, including deep learning (RNNs, LSTMs, Transformers), statistical modeling, and feature engineering.
- Proficiency in programming languages such as Python, and experience with libraries like NLTK, spaCy, Hugging Face Transformers.
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of linguistic principles and natural language understanding/generation concepts.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical ideas clearly.
- Experience working with large datasets and cloud computing platforms (AWS, GCP, Azure) is a plus.
- Ability to work independently and lead research initiatives.
AI Research Scientist - Natural Language Processing
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You will work with large datasets, explore new AI architectures, and publish research findings in leading conferences and journals. Collaboration with cross-functional teams, including software engineers and product managers, will be crucial for translating research breakthroughs into practical applications. This position requires a deep understanding of machine learning, deep learning frameworks, and NLP techniques. Staying abreast of the latest advancements in the AI field is essential.
The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record in NLP. Proven experience with deep learning frameworks such as TensorFlow or PyTorch, and proficiency in programming languages like Python, are mandatory. Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK) and cloud platforms (e.g., AWS, Azure, GCP) is highly beneficial. Excellent analytical, problem-solving, and communication skills are essential. This role is based in our **Milwaukee, Wisconsin** office, offering a stimulating and collaborative research environment.
We are looking for a highly curious and innovative researcher who is passionate about pushing the boundaries of AI and NLP. If you are driven by intellectual challenge and have a desire to contribute to groundbreaking technological advancements, we encourage you to apply. This is a premier opportunity to contribute to impactful AI research in a cutting-edge setting.
AI Research Scientist - Natural Language Processing
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP) and Machine Learning.
- Develop and implement novel NLP algorithms and models for various language tasks.
- Design and train deep learning architectures, including Transformers and large language models.
- Evaluate model performance using rigorous scientific methodologies and benchmark datasets.
- Collaborate with engineering teams to integrate research models into production systems.
- Publish research findings in leading academic conferences and journals.
- Stay abreast of the latest advancements in AI, NLP, and related fields.
- Mentor junior researchers and contribute to the overall research direction of the team.
- Explore new application areas for NLP and AI technologies.
- Contribute to the intellectual property portfolio through patent filings.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 3-5 years of research experience in Natural Language Processing, with a strong publication record.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python, C++, or Java.
- Deep understanding of NLP techniques, including text classification, named entity recognition, sentiment analysis, and language generation.
- Experience with large language models (LLMs) and their applications.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a research environment.