67 Text Analysis jobs in the United States
AI Research Scientist - Natural Language Processing
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- 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.
AI Research Scientist, Natural Language Processing
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This role is based in Boise, Idaho, US.
Principal AI Engineer, Natural Language Processing
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- 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.
AI Research Scientist, Natural Language Processing
Posted 1 day ago
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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.
AI Research Scientist - Natural Language Processing
Posted 1 day ago
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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.
- 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.
Principal AI Researcher - Natural Language Processing
Posted 1 day ago
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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 .
Senior AI Engineer - Natural Language Processing
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AI Research Scientist - Natural Language Processing
Posted 1 day ago
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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.
- 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.
Senior AI Research Scientist, Natural Language Processing
Posted today
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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.
Senior AI Research Engineer, Natural Language Processing
Posted today
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