336 Language Technology jobs in the United States
AI Research Scientist - Natural Language Processing
10001 New York, New York
$120000 Annually
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Our client is at the forefront of artificial intelligence and is seeking a brilliant AI Research Scientist with a specialization in Natural Language Processing (NLP) to join our innovative, remote-first team. This is a unique opportunity to contribute to groundbreaking research and development in areas such as machine translation, sentiment analysis, text generation, and conversational AI. As an AI Research Scientist, you will design, implement, and evaluate novel NLP models and algorithms, collaborating with a world-class team of engineers and researchers. You will stay abreast of the latest advancements in the field, publish research findings, and contribute to the intellectual property of the company. The ideal candidate holds a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong publication record in top-tier NLP conferences or journals. Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch is essential. Experience with large language models (LLMs), transformer architectures, and various NLP techniques is highly desirable. This role is fully remote, offering the flexibility to work from anywhere within the US. You will be part of a culture that fosters creativity, intellectual curiosity, and continuous learning. We provide access to cutting-edge computational resources and encourage participation in academic and industry forums. Your ability to translate complex theoretical concepts into practical applications and drive innovation in the AI space will be critical. We are looking for individuals who are passionate about pushing the boundaries of what's possible with AI and are eager to make a significant impact on the future of technology.
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0
AI Research Scientist (Natural Language Processing)
94101 San Francisco, California
$150000 Annually
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Our client is seeking a highly innovative AI Research Scientist specializing in Natural Language Processing (NLP) to join their cutting-edge team in San Francisco, California . This role is central to developing next-generation AI capabilities, focusing on advancements in language understanding, generation, and translation. You will conduct groundbreaking research, design novel algorithms, and implement state-of-the-art NLP models. The ideal candidate possesses a deep theoretical understanding of machine learning and deep learning, coupled with practical experience in building and deploying NLP solutions.
Key Responsibilities:
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas like text classification, sentiment analysis, machine translation, question answering, and text generation.
- Design, develop, and implement novel deep learning models (e.g., Transformers, LSTMs, RNNs) for NLP tasks.
- Experiment with and fine-tune large language models (LLMs) for specific applications.
- Process and analyze large datasets of text and conversational data.
- Collaborate with software engineers to integrate AI models into production 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 conferences and journals.
- Develop benchmarks and evaluation metrics for NLP models.
- Mentor junior researchers and contribute to the team's technical growth.
- Contribute to intellectual property generation through patents and publications.
- Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field with a specialization in NLP.
- 5+ years of research experience in AI/ML/NLP, demonstrating significant contributions to the field.
- Proven expertise in developing and implementing NLP models using frameworks such as TensorFlow, PyTorch, or JAX.
- Strong understanding of machine learning theory, algorithms, and statistical modeling.
- Proficiency in programming languages such as Python.
- Experience with large language models and transformer architectures is essential.
- Demonstrated ability to work independently and drive research projects from conception to completion.
- Excellent written and verbal communication skills, with the ability to present complex ideas clearly.
- Publications in leading AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP) are highly desirable.
- This role offers a hybrid work arrangement, with the expectation of some on-site presence at our San Francisco, California office.
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1
AI/ML Engineer - Natural Language Processing
78205 San Antonio, Texas
$140000 Annually
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Our client is at the forefront of innovation in AI and Emerging Technologies and is looking for a talented AI/ML Engineer specializing in Natural Language Processing (NLP) to join their pioneering team in San Antonio, Texas, US . This role involves developing and deploying sophisticated NLP models that power groundbreaking applications. You will be instrumental in leveraging cutting-edge AI techniques to solve complex problems and create intelligent solutions that transform industries.
Responsibilities:
Responsibilities:
- Design, develop, train, and deploy state-of-the-art NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Implement and fine-tune transformer-based architectures (e.g., BERT, GPT, RoBERTa) and other deep learning models for various NLP applications.
- Process and prepare large volumes of text data, including cleaning, tokenization, and feature engineering.
- Collaborate with data scientists, software engineers, and domain experts to integrate NLP capabilities into existing and new products.
- Evaluate model performance using appropriate metrics and conduct rigorous testing to ensure accuracy and robustness.
- Stay current with the latest research papers, techniques, and tools in NLP and machine learning.
- Optimize models for performance, scalability, and deployment in production environments.
- Develop and maintain robust pipelines for data ingestion, model training, and deployment.
- Contribute to the architectural design of AI/ML systems.
- Write clean, well-documented, and efficient code in Python.
- Present research findings and model performance to technical and non-technical stakeholders.
- Contribute to the team's knowledge base and foster a collaborative learning environment.
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 4 years of hands-on experience in developing and deploying NLP models in a production environment.
- Strong programming skills in Python and familiarity with relevant libraries such as TensorFlow, PyTorch, scikit-learn, NLTK, SpaCy, and Hugging Face Transformers.
- Solid understanding of machine learning algorithms, deep learning architectures, and NLP concepts.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Proven ability to work with large text datasets and perform data wrangling.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and teamwork abilities.
- Experience with distributed computing frameworks (e.g., Spark) is beneficial.
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2
AI Research Scientist - Natural Language Processing
53202 Milwaukee, Wisconsin
$120000 Annually
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Our client is at the forefront of AI innovation and is looking for a talented AI Research Scientist specializing in Natural Language Processing (NLP) to join their pioneering team. This is a fully remote position, offering the flexibility to work from anywhere within the US. You will be responsible for conducting cutting-edge research, developing novel NLP algorithms, and contributing to the advancement of our AI capabilities. This role requires a deep understanding of machine learning, deep learning, and state-of-the-art NLP techniques.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced NLP models and algorithms.
- Conduct research on topics such as text classification, sentiment analysis, machine translation, question answering, and summarization.
- Collaborate with engineering teams to integrate AI models into production systems.
- Stay abreast of the latest research papers and advancements in AI and NLP.
- Publish research findings in reputable conferences and journals.
- Experiment with and evaluate different machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
- Contribute to the team's intellectual property through innovative solutions.
- Mentor junior researchers and engineers.
- Analyze large datasets to identify patterns and insights for model improvement.
- Present research findings and project updates to stakeholders.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven track record of research and development in Natural Language Processing.
- Strong programming skills in Python and experience with relevant libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Solid understanding of machine learning and deep learning principles.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts.
- Demonstrated ability to work effectively in a remote, collaborative environment.
- Experience with data science tools and techniques.
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3
AI Research Scientist, Natural Language Processing
64101 Kansas City, Missouri
$160000 Annually
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Our client is at the forefront of Artificial Intelligence innovation and is seeking a highly skilled and passionate AI Research Scientist specializing in Natural Language Processing (NLP) to join their pioneering team. This role is based in Kansas City, Missouri, US , but offers a remote work option for qualified candidates. You will be instrumental in advancing our NLP capabilities, developing cutting-edge models, and contributing to groundbreaking AI research. The ideal candidate will have a strong academic background, extensive research experience in NLP, and a proven ability to translate theoretical concepts into practical applications.
Key responsibilities include designing, implementing, and evaluating novel NLP algorithms and models, conducting rigorous scientific research, and publishing findings in top-tier conferences and journals. You will work with large datasets, develop and fine-tune deep learning models (e.g., Transformers, LLMs), and collaborate with a team of world-class AI researchers and engineers. Experience with major NLP libraries and frameworks (e.g., TensorFlow, PyTorch, Hugging Face) is essential. The ability to contribute to the full research lifecycle, from ideation and experimentation to deployment and evaluation, is highly valued. We are looking for individuals with exceptional problem-solving skills, a deep understanding of machine learning principles, and a creative mindset. This is an opportunity to work on challenging problems, push the boundaries of AI, and make a significant impact on the future of technology. Strong communication and presentation skills are necessary to effectively share research findings and collaborate with both technical and non-technical stakeholders in a remote environment.
Responsibilities:
Key responsibilities include designing, implementing, and evaluating novel NLP algorithms and models, conducting rigorous scientific research, and publishing findings in top-tier conferences and journals. You will work with large datasets, develop and fine-tune deep learning models (e.g., Transformers, LLMs), and collaborate with a team of world-class AI researchers and engineers. Experience with major NLP libraries and frameworks (e.g., TensorFlow, PyTorch, Hugging Face) is essential. The ability to contribute to the full research lifecycle, from ideation and experimentation to deployment and evaluation, is highly valued. We are looking for individuals with exceptional problem-solving skills, a deep understanding of machine learning principles, and a creative mindset. This is an opportunity to work on challenging problems, push the boundaries of AI, and make a significant impact on the future of technology. Strong communication and presentation skills are necessary to effectively share research findings and collaborate with both technical and non-technical stakeholders in a remote environment.
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP).
- Develop and implement novel NLP algorithms and deep learning models.
- Train, fine-tune, and evaluate large language models (LLMs) and other NLP architectures.
- Process and analyze large text datasets.
- Collaborate with a team of AI researchers and engineers.
- Publish research findings in leading academic conferences and journals.
- Contribute to the development of AI products and applications.
- Stay abreast of the latest advancements in AI and NLP.
- Mentor junior researchers and engineers.
- Present research findings to internal and external audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on NLP.
- Proven track record of research and publications in NLP.
- Strong experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python.
- Experience with NLP libraries and tools (e.g., NLTK, SpaCy, Hugging Face).
- Knowledge of state-of-the-art NLP techniques (e.g., transformers, attention mechanisms).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and collaboratively in a research environment.
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4
Lead AI Engineer - Natural Language Processing
68101 Omaha, Nebraska
$130000 Annually
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Our client is seeking a highly skilled and innovative Lead AI Engineer to spearhead our Natural Language Processing (NLP) initiatives. This is a fully remote position, allowing you to contribute from anywhere within the US. You will be responsible for designing, developing, and deploying advanced NLP models and systems that power our next-generation products and services. Your expertise will be crucial in areas such as text understanding, sentiment analysis, machine translation, and conversational AI. You will lead a team of talented AI engineers, providing technical guidance, mentorship, and fostering a culture of innovation and collaboration. Key responsibilities include defining the technical roadmap for NLP development, implementing efficient and scalable AI solutions, conducting rigorous testing and evaluation, and ensuring the deployment of high-quality models into production environments. A Master's or PhD in Computer Science, Computational Linguistics, Artificial Intelligence, or a closely related field is required, coupled with a minimum of 5 years of hands-on experience in NLP and deep learning. Proficiency in Python and popular NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers) and deep learning frameworks (e.g., TensorFlow, PyTorch) is essential. Experience with large language models (LLMs) and transformer architectures is highly desirable. You should possess excellent coding skills, a strong understanding of software development best practices, and experience with cloud platforms (AWS, Azure, GCP). The ability to translate complex business problems into AI solutions and communicate technical concepts clearly to both technical and non-technical audiences is vital. We are looking for a leader who is passionate about NLP, driven by data, and eager to make a significant impact on our products.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of NLP models and systems.
- Develop and implement state-of-the-art NLP algorithms and techniques.
- Manage and mentor a team of AI engineers.
- Collaborate with product managers and data scientists to define NLP project requirements.
- Optimize NLP models for performance, scalability, and accuracy.
- Conduct research on new NLP advancements and integrate them into our solutions.
- Ensure the quality and robustness of AI models in production.
- Contribute to the overall AI strategy and architecture.
- Master's or PhD in Computer Science, AI, NLP, or related field.
- 5+ years of experience in NLP engineering and applied AI.
- Strong proficiency in Python and NLP libraries.
- Expertise in deep learning frameworks (TensorFlow, PyTorch).
- Experience with LLMs and transformer models.
- Solid understanding of software engineering principles.
- Excellent leadership, communication, and problem-solving skills.
- Proven ability to work effectively in a remote, collaborative environment.
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5
AI/ML Engineer - Natural Language Processing
63101 St. Louis, Missouri
$170000 Annually
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Our client, a cutting-edge technology firm at the forefront of AI innovation, is seeking a talented AI/ML Engineer specializing in Natural Language Processing (NLP) to join their fully remote, world-class research and development team. This role is pivotal in developing advanced AI solutions that understand, interpret, and generate human language. You will be responsible for designing, building, and deploying state-of-the-art NLP models and algorithms for applications such as sentiment analysis, text summarization, machine translation, and conversational AI. The ideal candidate will possess a strong foundation in machine learning, deep learning, and statistical modeling, with a proven track record in NLP research and development. Key responsibilities include researching and implementing novel NLP techniques, preprocessing and analyzing large text datasets, fine-tuning pre-trained language models (e.g., BERT, GPT), and evaluating model performance. You will collaborate closely with data scientists, software engineers, and product managers to integrate AI capabilities into new and existing products. This is a remote-first position, allowing you to work alongside a globally distributed team of experts. Essential qualifications include a Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. A minimum of 5 years of experience in AI/ML engineering with a specialization in NLP is required. Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow, PyTorch, and libraries like spaCy, NLTK, or Hugging Face Transformers are essential. Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly beneficial. If you are passionate about pushing the boundaries of artificial intelligence and shaping the future of human-computer interaction, we encourage you to apply.
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AI Research Scientist - Natural Language Processing
75201 Dallas, Texas
$140000 Annually
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Join a pioneering team at the forefront of Artificial Intelligence inDallas, Texas, US . Our client is seeking an exceptional AI Research Scientist with a specialization in Natural Language Processing (NLP) to drive innovation and develop state-of-the-art AI solutions. This role involves conducting advanced research, designing and implementing NLP models, and contributing to the development of intelligent systems that can understand, interpret, and generate human language. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong publication record in NLP. You will be responsible for exploring new methodologies, experimenting with deep learning architectures (e.g., Transformers, LSTMs), and evaluating model performance. Collaboration with cross-functional teams, including data scientists, engineers, and product managers, will be crucial to translate research findings into practical applications. This hybrid position offers a balance of focused research work and collaborative engagement, fostering a dynamic environment for groundbreaking discoveries. You should have a passion for pushing the boundaries of AI and a deep understanding of linguistic principles and computational linguistics.
Key responsibilities include:
Key responsibilities include:
- Conducting cutting-edge research in Natural Language Processing (NLP).
- Developing, training, and evaluating state-of-the-art NLP models.
- Implementing and optimizing algorithms for tasks such as text classification, sentiment analysis, machine translation, and question answering.
- Exploring and applying deep learning frameworks (e.g., TensorFlow, PyTorch) to NLP challenges.
- Collaborating with engineers to deploy NLP models into production environments.
- Staying abreast of the latest advancements and research trends in AI and NLP.
- Publishing research findings in top-tier conferences and journals.
- Designing experiments and analyzing results to validate hypotheses.
- Contributing to the development of intellectual property and patents.
- Mentoring junior researchers and contributing to the team's knowledge base.
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7
Principal AI Engineer - Natural Language Processing
80202 Denver, Colorado
$160000 Annually
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Our client is at the forefront of AI innovation and is seeking an exceptional Principal AI Engineer with expertise in Natural Language Processing (NLP) to join their fully remote team. This pivotal role will involve designing, developing, and deploying advanced AI models that understand and generate human language. You will lead complex projects, mentor junior engineers, and contribute significantly to the company's AI strategy. As a remote-first organization, we foster a collaborative and productive environment accessible from anywhere. Key responsibilities include:
Qualifications:
This is a unique opportunity for a visionary AI leader to shape the future of language technology from anywhere in the world, working with a world-class team dedicated to advancing artificial intelligence.
- Leading the design and implementation of sophisticated NLP models and algorithms.
- Developing state-of-the-art machine learning systems for tasks such as text classification, sentiment analysis, machine translation, and question answering.
- Building and optimizing large-scale language models (LLMs) and transformer architectures.
- Conducting research and experimentation to push the boundaries of NLP capabilities.
- Collaborating with data scientists and software engineers to deploy AI solutions into production environments.
- Mentoring and guiding junior AI engineers and researchers.
- Evaluating and integrating new AI technologies and frameworks.
- Publishing research findings and contributing to the AI community.
- Ensuring the scalability, efficiency, and robustness of AI models.
- Developing strategies for data acquisition, preprocessing, and augmentation for NLP tasks.
- Providing technical leadership and strategic direction for AI initiatives.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 10+ years of experience in AI/ML engineering, with a strong specialization in NLP.
- Proven track record of successfully developing and deploying production-grade NLP models.
- Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Extensive experience with LLMs, transformer networks, and related architectures.
- Strong programming skills in Python.
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Excellent understanding of statistical methods and machine learning algorithms.
- Strong analytical, problem-solving, and critical thinking skills.
- Exceptional communication and leadership abilities, particularly in a remote setting.
- Experience with MLOps and model deployment pipelines is a plus.
This is a unique opportunity for a visionary AI leader to shape the future of language technology from anywhere in the world, working with a world-class team dedicated to advancing artificial intelligence.
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8
AI Research Scientist, Natural Language Processing
28202 Charlotte, North Carolina
$180000 Annually
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Our client is seeking a visionary AI Research Scientist specializing in Natural Language Processing (NLP) to join their cutting-edge research team in Charlotte, North Carolina, US . This role is at the forefront of developing advanced AI models and algorithms that understand, interpret, and generate human language. You will conduct novel research, publish findings, and translate research into practical applications that drive innovation in AI and emerging technologies.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct groundbreaking research in Natural Language Processing (NLP), including areas such as sentiment analysis, machine translation, text generation, and question answering.
- Develop, train, and evaluate state-of-the-art NLP models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Design and implement experiments to test hypotheses and validate research findings.
- Analyze and interpret large-scale text datasets to extract insights and inform model development.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI, machine learning, and NLP through academic literature and conferences.
- Publish research findings in top-tier academic journals and present at international conferences.
- Contribute to the intellectual property portfolio through patent applications.
- Mentor junior researchers and contribute to a collaborative research environment.
- Identify and explore new opportunities for AI application within the company's strategic domains.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
- Minimum of 5 years of research experience in Natural Language Processing (NLP) and machine learning.
- Strong theoretical foundation and practical experience with deep learning techniques and frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in programming languages commonly used in AI research, such as Python.
- Experience with NLP libraries and tools (e.g., NLTK, spaCy, Hugging Face Transformers).
- Proven track record of publications in reputable AI/NLP conferences and journals.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Experience with cloud computing platforms (AWS, Azure, GCP) for ML model training is a plus.
- This role offers a hybrid work model, requiring occasional presence at our Charlotte, North Carolina, US office.
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