67 Text Analysis jobs in the United States

AI Research Scientist - Natural Language Processing

30303 Atlanta, Georgia $130000 Annually WhatJobs

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full-time
Our client is seeking a highly innovative and experienced AI Research Scientist specializing in Natural Language Processing (NLP) to join our pioneering, fully remote team. This role is at the forefront of developing next-generation AI solutions, focusing on understanding, generating, and interacting with human language. You will be responsible for conceptualizing, designing, and implementing cutting-edge NLP models and algorithms, contributing to breakthroughs in areas such as sentiment analysis, machine translation, question answering, and dialogue systems. This is a remote-first opportunity for a passionate researcher eager to push the boundaries of AI. Responsibilities include:
  • Conducting advanced research in NLP, machine learning, and deep learning applied to text and speech data.
  • Developing novel NLP models and algorithms, including transformer-based architectures, LSTMs, and CNNs.
  • Implementing and experimenting with state-of-the-art NLP techniques using frameworks like TensorFlow, PyTorch, and scikit-learn.
  • Processing and analyzing large-scale text datasets, including data cleaning, feature extraction, and annotation.
  • Collaborating with engineering teams to deploy research prototypes into production systems.
  • Publishing research findings in top-tier academic conferences and journals.
  • Staying up-to-date with the latest advancements in AI, NLP, and related fields.
  • Mentoring junior researchers and contributing to the intellectual property of the company.
A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a specialization in NLP is required. Demonstrated experience in developing and deploying NLP models, with a strong publication record, is essential. Proficiency in Python and deep learning libraries is mandatory. Candidates must have a proven ability to conduct independent research, think critically, and solve complex problems. Excellent communication skills are necessary for collaborating with a distributed team and presenting research outcomes. This is a unique chance to work on groundbreaking AI projects from the comfort of your home office, contributing significantly to the future of intelligent systems.
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AI Research Scientist, Natural Language Processing

83701 Hidden Springs, Idaho $140000 Annually WhatJobs

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full-time
Our client is seeking an innovative AI Research Scientist to join their cutting-edge team focused on Natural Language Processing (NLP). This fully remote position offers the chance to contribute to the development of state-of-the-art NLP models and applications that will redefine human-computer interaction. You will be responsible for conducting research, designing experiments, and implementing advanced machine learning algorithms to advance the field of NLP. Key areas of focus include text generation, sentiment analysis, question answering, and machine translation. The ideal candidate will have a strong theoretical foundation in machine learning, deep learning, and NLP techniques. Proven experience with popular deep learning frameworks such as TensorFlow, PyTorch, or similar is essential. You should be comfortable working with large datasets, performing data preprocessing, and evaluating model performance rigorously. This role demands a highly analytical and creative individual with excellent problem-solving skills and the ability to work independently in a remote setting. Strong programming skills in Python are required. You will contribute to academic publications and present research findings at leading AI conferences. The successful candidate will hold a PhD in Computer Science, Artificial Intelligence, or a related field with a specialization in NLP. A minimum of 5 years of research experience in NLP post-PhD is mandatory. A strong publication record in top-tier NLP and AI conferences (e.g., ACL, EMNLP, NeurIPS) is required. Experience with large language models (LLMs) and transformer architectures is highly desirable. The ability to translate complex research ideas into practical, scalable solutions is crucial. This is an exceptional opportunity to shape the future of AI and work on challenging, impactful projects from the comfort of your home office.
This role is based in Boise, Idaho, US.
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Principal AI Engineer, Natural Language Processing

30301 Atlanta, Georgia $150000 Annually WhatJobs

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full-time
Our client, a leading innovator in artificial intelligence and machine learning solutions, is seeking a highly skilled Principal AI Engineer specializing in Natural Language Processing (NLP). This role is pivotal in developing and deploying advanced AI models that understand and generate human language, driving next-generation intelligent applications. You will lead cutting-edge research and development, mentor junior engineers, and contribute to the strategic direction of AI initiatives. This position offers a hybrid work model, combining essential in-office collaboration with remote flexibility, based at our client's vibrant technology hub in **Atlanta, Georgia, US**. Responsibilities include:
  • Designing, developing, and deploying sophisticated NLP models and algorithms for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
  • Leading research efforts in areas like large language models (LLMs), transformer architectures, and advanced text generation techniques.
  • Developing and implementing robust data pipelines for training and evaluating NLP models.
  • Collaborating closely with product managers and software engineers to integrate AI capabilities into client-facing applications.
  • Evaluating and selecting appropriate tools, frameworks, and libraries for NLP development (e.g., TensorFlow, PyTorch, Hugging Face).
  • Mentoring and guiding junior AI engineers and data scientists.
  • Staying abreast of the latest advancements and research trends in AI, ML, and NLP.
  • Contributing to the development of intellectual property and publishing research findings.
  • Ensuring the scalability, performance, and ethical considerations of AI models.
  • Providing technical leadership and strategic direction for NLP initiatives.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a strong emphasis on NLP. A minimum of 7-10 years of hands-on experience in developing and deploying production-level AI/ML models, with a significant focus on NLP, is required. Deep understanding of NLP concepts, algorithms, and state-of-the-art models (e.g., BERT, GPT, Llama) is essential. Proven experience with deep learning frameworks (TensorFlow, PyTorch) and libraries like Hugging Face is mandatory. Strong programming skills in Python and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. Excellent problem-solving, communication, and leadership skills are critical. Join our client in **Atlanta, Georgia, US** and shape the future of human-computer interaction.
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AI Research Scientist, Natural Language Processing

94107 San Francisco, California $160000 Annually WhatJobs

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full-time
Our client is at the forefront of artificial intelligence innovation and is searching for a brilliant AI Research Scientist specializing in Natural Language Processing (NLP) to join their cutting-edge, fully remote team. This role is ideal for a researcher who thrives on pushing the boundaries of what's possible in machine learning and language understanding. You will be responsible for conceptualizing, designing, and implementing novel NLP models and algorithms that drive significant advancements in our client's core products and services. This is a research-intensive position where you will collaborate with a world-class team of engineers and scientists, contributing to high-impact projects.

Key Responsibilities:
  • Conduct foundational and applied research in Natural Language Processing, including areas such as text generation, translation, summarization, sentiment analysis, and question answering.
  • Develop and prototype new NLP models, algorithms, and techniques using state-of-the-art machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Design and execute rigorous experiments to evaluate model performance and identify areas for improvement.
  • Analyze large-scale datasets to extract insights and inform model development.
  • Publish research findings in top-tier academic conferences and journals.
  • Collaborate with product and engineering teams to translate research breakthroughs into practical, deployable solutions.
  • Stay current with the latest advancements in NLP, machine learning, and artificial intelligence through literature review and conference participation.
  • Mentor junior researchers and contribute to the intellectual culture of the team.
  • Present research findings and technical concepts to both technical and non-technical audiences.

Qualifications:
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
  • 3+ years of post-academic research experience in NLP, with a strong publication record in leading venues.
  • Deep understanding of machine learning principles, deep learning architectures (e.g., Transformers, RNNs, CNNs), and NLP techniques.
  • Proficiency in programming languages such as Python and experience with ML libraries (TensorFlow, PyTorch).
  • Experience with large-scale data processing and distributed computing environments is a plus.
  • Strong analytical, mathematical, and problem-solving skills.
  • Excellent communication and presentation skills, with the ability to explain complex research ideas clearly.
  • Proven ability to work independently and as part of a collaborative, remote research team.
  • Experience with cloud platforms (AWS, GCP, Azure) is desirable.

This is a premier opportunity for an ambitious AI researcher to contribute to groundbreaking work in an environment that fosters innovation and intellectual curiosity. The role is based in San Francisco, California, US , but is fully remote, allowing you to work from your preferred location.
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AI Research Scientist - Natural Language Processing

83702 Hidden Springs, Idaho $140000 Annually WhatJobs

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full-time
Our client is at the forefront of artificial intelligence innovation and is seeking an exceptional AI Research Scientist specializing in Natural Language Processing (NLP) to join their cutting-edge research team. This role, based in Boise, Idaho, US , will involve pushing the boundaries of NLP technology, developing novel algorithms, and creating state-of-the-art models that can understand, interpret, and generate human language. You will collaborate with a world-class team of researchers and engineers to translate groundbreaking research into practical applications that have a real-world impact.

Key Responsibilities:
  • Conduct research and development in advanced NLP areas such as large language models (LLMs), sentiment analysis, machine translation, text summarization, question answering, and information extraction.
  • Design, implement, and evaluate novel NLP algorithms and models using state-of-the-art machine learning techniques.
  • Stay abreast of the latest academic research and industry trends in NLP and AI.
  • Collaborate with engineering teams to deploy research prototypes into production systems.
  • Publish research findings in top-tier conferences and journals.
  • Mentor junior researchers and contribute to a culture of innovation and knowledge sharing.
  • Analyze large datasets to identify patterns, insights, and opportunities for model improvement.
  • Develop and maintain robust experimental frameworks for evaluating NLP models.
  • Contribute to grant proposals and intellectual property development.
  • Present research findings to technical and non-technical audiences.
  • Ensure the ethical development and deployment of AI technologies.
Qualifications:
  • Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
  • Strong publication record in reputable NLP or AI conferences/journals (e.g., ACL, EMNLP, NeurIPS, ICML).
  • Proven experience in developing and implementing NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Expertise in programming languages such as Python, with extensive experience in relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
  • Deep understanding of various NLP tasks and techniques, including embeddings, sequence-to-sequence models, transformers, and attention mechanisms.
  • Experience with large-scale data processing and distributed computing is a plus.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain complex technical concepts effectively.
  • Ability to work independently and collaboratively in a fast-paced research environment.
  • Experience with cloud platforms (AWS, Azure, GCP) is beneficial.
This hybrid role offers a unique opportunity to work on challenging AI problems in Boise, Idaho, US , with access to significant computational resources and a collaborative research community.
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Principal AI Researcher - Natural Language Processing

94105 San Francisco, California $180000 Annually WhatJobs

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full-time
Our client, a pioneering force in AI innovation, is searching for an exceptional Principal AI Researcher specializing in Natural Language Processing (NLP) to join their cutting-edge research division, based in San Francisco, California, US . This role is designed for a visionary leader who thrives on pushing the boundaries of AI, with a particular focus on developing next-generation NLP models and applications. You will be instrumental in defining the research roadmap, leading complex projects, and publishing groundbreaking work that will shape the future of human-computer interaction and intelligent systems.

Key Responsibilities:
  • Spearhead research initiatives in advanced NLP areas such as large language models (LLMs), machine translation, sentiment analysis, question answering, and text generation.
  • Design, implement, and evaluate novel algorithms and architectures for NLP tasks.
  • Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications and products.
  • Mentor and guide junior researchers and engineers, fostering a culture of innovation and technical excellence.
  • Stay at the forefront of AI and NLP research by actively engaging with the academic community, attending conferences, and publishing in top-tier venues.
  • Develop and maintain expertise in emerging AI frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face).
  • Contribute to the strategic direction of the AI research lab, identifying new research opportunities and potential impact areas.
  • Present research findings to internal stakeholders and external audiences.
  • Ensure the ethical development and deployment of AI technologies.
  • Drive the development of scalable and efficient NLP systems.

Required Qualifications:
  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
  • Minimum of 10 years of hands-on research experience in Artificial Intelligence and Natural Language Processing, with a significant portion focused on leadership and project management.
  • Proven track record of publishing impactful research in top-tier AI/NLP conferences and journals (e.g., NeurIPS, ICML, ACL, EMNLP).
  • Deep understanding of deep learning, transformer architectures, and statistical NLP methods.
  • Expertise in programming languages such as Python and experience with ML libraries (e.g., PyTorch, TensorFlow).
  • Demonstrated ability to lead research projects from ideation to execution and publication.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
  • Experience with distributed computing and large-scale data processing is a plus.
  • Passion for advancing the state-of-the-art in AI and its applications.

This is a remote-first position offering a highly competitive compensation package, including stock options, and the opportunity to work on some of the most challenging and rewarding problems in AI. Join us and redefine what's possible with AI in San Francisco, California, US .
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Senior AI Engineer - Natural Language Processing

23218 Richmond, Virginia $140000 Annually WhatJobs

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full-time
Our client, a forward-thinking technology company, is actively recruiting a talented Senior AI Engineer with a specialization in Natural Language Processing (NLP) to join their innovative team. This role will involve designing, developing, and deploying advanced NLP models and solutions that drive our client's cutting-edge products and services. You will be responsible for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and conversational AI. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field, with a strong understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch, spaCy), and NLP techniques. Proven experience in Python programming and working with large datasets is essential. You will collaborate closely with product managers, software engineers, and data scientists to translate business requirements into practical AI solutions. Responsibilities include conducting research, experimenting with different models, fine-tuning existing systems, and ensuring the scalability and performance of deployed NLP applications. This position requires excellent problem-solving skills, a keen eye for detail, and the ability to communicate complex technical concepts effectively. You will play a key role in shaping the future of our client's AI capabilities. This hybrid role offers a balance of remote work and on-site collaboration at our Richmond, Virginia, US location.
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AI Research Scientist - Natural Language Processing

68101 Omaha, Nebraska $140000 Annually WhatJobs

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full-time
Our client, a pioneering AI research lab, is seeking an exceptionally talented and innovative AI Research Scientist specializing in Natural Language Processing (NLP) to join their world-class, fully remote team. This is a unique opportunity to push the boundaries of AI research and contribute to groundbreaking advancements in language understanding and generation. You will be responsible for conducting cutting-edge research, developing novel algorithms, and implementing state-of-the-art NLP models. Your work will involve exploring areas such as sentiment analysis, text summarization, machine translation, question answering, and conversational AI. You will design and execute experiments, analyze results, and publish findings in leading AI conferences and journals. Collaboration with other researchers and engineers to integrate research prototypes into production systems will be a key aspect of the role. The ideal candidate possesses a deep theoretical understanding of machine learning and deep learning, with a strong focus on NLP techniques. Proven experience with frameworks like TensorFlow, PyTorch, or similar, and proficiency in programming languages such as Python are essential. A Ph.D. or equivalent research experience in AI, Machine Learning, Computer Science, or a related field is highly preferred. You must be a creative problem-solver with a passion for scientific inquiry and a track record of innovative contributions to the field of NLP. This role demands excellent analytical, critical thinking, and communication skills, with the ability to articulate complex research concepts effectively. If you are driven by intellectual curiosity and aspire to shape the future of AI through pioneering NLP research in a fully remote, collaborative environment, we invite you to apply.

Responsibilities:
  • Conduct advanced research in Natural Language Processing (NLP) and related AI fields.
  • Develop and implement novel NLP algorithms and models.
  • Design and execute experiments to validate research hypotheses.
  • Analyze large datasets to extract insights and train models.
  • Publish research findings in top-tier AI conferences and journals.
  • Collaborate with engineering teams to deploy research prototypes.
  • Stay abreast of the latest advancements in AI and NLP.
  • Mentor junior researchers and contribute to a culture of innovation.
Qualifications:
  • Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP.
  • Proven track record of research contributions in NLP, evidenced by publications or patents.
  • Expertise in machine learning and deep learning techniques, particularly as applied to NLP.
  • Proficiency in Python and ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras).
  • Experience with large language models (LLMs) and transformer architectures.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively in a remote research setting.
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Senior AI Research Scientist, Natural Language Processing

49503 Grand Rapids, Michigan $160000 Annually WhatJobs

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full-time
Our client is looking for a highly skilled and innovative Senior AI Research Scientist specializing in Natural Language Processing (NLP) to join their cutting-edge research and development team in **Grand Rapids, Michigan, US**. This role is at the forefront of developing next-generation AI capabilities, focusing on advancing the state-of-the-art in understanding, generating, and interacting with human language. You will be instrumental in designing, implementing, and evaluating novel NLP models and algorithms. The ideal candidate will possess a Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field, with a strong publication record in top-tier AI conferences and journals. This position requires deep expertise in machine learning, deep learning, and specifically in NLP techniques such as sentiment analysis, machine translation, question answering, and text generation. You will collaborate with a team of world-class researchers and engineers to translate research breakthroughs into impactful products.

Key Responsibilities:
  • Conduct cutting-edge research in Natural Language Processing, focusing on areas such as deep learning models (Transformers, RNNs, LSTMs), language understanding, and text generation.
  • Develop and implement novel NLP algorithms and techniques to solve complex real-world problems.
  • Design and execute rigorous experiments to evaluate the performance of NLP models.
  • Analyze and interpret large datasets to identify patterns and extract insights.
  • Collaborate with software engineers to integrate research prototypes into production systems.
  • Stay abreast of the latest advancements in AI, NLP, and related fields through literature review and conference participation.
  • Publish research findings in leading academic venues and contribute to the company's intellectual property.
  • Mentor junior researchers and interns, providing guidance and technical support.
  • Contribute to the strategic direction of AI and NLP research within the organization.
  • Present research findings to both technical and non-technical audiences.
  • Work closely with product teams to define and deliver innovative AI-powered features.
The successful candidate will have a Ph.D. in Computer Science, AI, Machine Learning, Computational Linguistics, or a related quantitative field. A minimum of 5 years of post-doctoral or industry research experience in NLP is required. Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face, spaCy, NLTK) is essential. Strong programming skills in Python and experience with large-scale data processing are necessary. Excellent communication, collaboration, and problem-solving skills are highly valued.
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Senior AI Research Engineer, Natural Language Processing

27701 Durham, North Carolina $155000 Annually WhatJobs

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full-time
Our client is at the forefront of innovation in AI and Emerging Technologies, and they are seeking a highly motivated Senior AI Research Engineer specializing in Natural Language Processing (NLP) to join their cutting-edge team. This role is designed for individuals passionate about pushing the boundaries of AI, with a focus on developing advanced NLP models and applications. You will work on challenging problems, contributing to the creation of intelligent systems that understand and generate human language. Responsibilities include conducting research into state-of-the-art NLP techniques, including deep learning models like transformers, LSTMs, and CNNs. You will be responsible for designing, implementing, and evaluating NLP algorithms for tasks such as text classification, sentiment analysis, machine translation, question answering, and dialogue systems. Collaborating with a team of world-class researchers and engineers to integrate AI models into production systems will be a key aspect of this role. You will also contribute to academic publications and present research findings at leading AI conferences. The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong publication record in NLP. Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and experience with NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy) is required. Experience with large-scale data processing and distributed computing is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team in a research-intensive environment are crucial. This is an exceptional opportunity to contribute to transformative AI technologies and shape the future of human-computer interaction.
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