432 Language Technology jobs in the United States
AI Research Scientist - Natural Language Processing
Posted 1 day ago
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AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Principal AI Researcher, Natural Language Processing
Posted 3 days ago
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Responsibilities:
- Lead research and development initiatives in advanced NLP techniques, including but not limited to, deep learning models for text generation, understanding, translation, and summarization.
- Design and implement novel algorithms and architectures for complex NLP tasks, potentially including large language models (LLMs).
- Conduct cutting-edge research, publish findings in top-tier AI conferences and journals, and contribute to the company's intellectual property portfolio.
- Collaborate with cross-functional teams, including product managers, engineers, and other researchers, to integrate AI research into innovative products and services.
- Mentor junior researchers and engineers, providing technical guidance and fostering a culture of innovation.
- Evaluate and benchmark NLP models and systems, ensuring state-of-the-art performance and efficiency.
- Stay at the forefront of AI and NLP research, identifying emerging trends and opportunities for disruptive innovation.
- Contribute to the strategic direction of the AI research roadmap.
- Develop prototypes and proof-of-concepts to demonstrate the potential of new NLP capabilities.
- Present research findings and technical insights to internal and external audiences.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong specialization in Natural Language Processing.
- Minimum of 7 years of research experience in NLP, with a proven track record of significant contributions (publications, patents, open-source projects).
- Deep expertise in various NLP tasks such as sentiment analysis, named entity recognition, question answering, machine translation, and dialogue systems.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and state-of-the-art NLP models (e.g., Transformers, BERT, GPT).
- Strong theoretical understanding of machine learning, statistics, and algorithm design.
- Proficiency in programming languages like Python, and experience with relevant libraries (e.g., NLTK, spaCy, Hugging Face).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication, presentation, and collaboration skills.
- Ability to work independently and lead complex research projects.
- Experience with large-scale data processing and distributed computing is a plus.
This is a unique opportunity to shape the future of AI and NLP, working on challenging problems with a world-class team. Join us to make a significant impact in the field of artificial intelligence.
AI Research Scientist, Natural Language Processing
Posted 4 days ago
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Senior AI Engineer - Natural Language Processing
Posted 4 days ago
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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.
- Build and maintain robust data pipelines for NLP model training and evaluation, ensuring data quality and integrity.
- Collaborate with product managers and data scientists to define project requirements and translate business needs into technical solutions.
- Integrate NLP models into production systems and applications, ensuring scalability, performance, and reliability.
- Conduct research on state-of-the-art NLP techniques and evaluate their applicability to our client's products and services.
- Optimize NLP models for efficiency and performance in real-world applications.
- Develop and implement evaluation metrics and frameworks to assess the effectiveness of NLP solutions.
- Stay current with the latest advancements in NLP, machine learning, and deep learning research.
- Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.
- Write clean, well-documented, and maintainable code in Python or other relevant languages.
- Participate in code reviews and provide constructive feedback to peers.
- Troubleshoot and resolve issues related to NLP model deployment and performance.
- Contribute to the development of AI strategy and roadmap.
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- Minimum of 6 years of experience in AI/ML engineering, with a strong focus on Natural Language Processing.
- Proven experience developing and deploying production-level NLP models using frameworks like TensorFlow, PyTorch, Hugging Face Transformers, spaCy, or NLTK.
- Deep understanding of NLP concepts, including tokenization, embeddings, sequence models (RNNs, LSTMs, Transformers), and attention mechanisms.
- Proficiency in Python programming and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and related AI/ML services.
- Familiarity with data engineering and MLOps practices.
- Strong analytical and problem-solving skills, with a keen eye for detail.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts.
- Experience with large language models (LLMs) and their applications is a significant plus.
- Ability to work effectively in a hybrid work environment.
- Demonstrated ability to lead technical initiatives and mentor team members.
AI Research Scientist - Natural Language Processing
Posted 4 days ago
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As an AI Research Scientist, your primary focus will be on conducting theoretical and applied research in NLP. This includes developing novel algorithms, architectures, and methodologies for tasks such as sentiment analysis, topic modeling, question answering, machine translation, and text summarization. You will design and implement experiments to evaluate the performance of developed models, analyze results, and iterate on solutions to achieve state-of-the-art performance. The role involves staying abreast of the latest advancements in NLP, machine learning, and deep learning, and actively contributing to the scientific community through publications and presentations.
Collaboration with a team of world-class researchers and engineers will be essential. You will contribute to the development of proprietary AI models and frameworks, and work on transforming research findings into practical applications. This includes exploring new datasets, designing efficient training pipelines, and optimizing models for deployment. You will also play a key role in identifying future research directions and potential areas of innovation. The ability to clearly articulate complex technical concepts to both technical and non-technical audiences is important. This is a deeply intellectual role that demands creativity, rigor, and a passion for solving complex problems.
Qualifications include a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong specialization in Natural Language Processing. Proven experience in conducting cutting-edge research and publishing in top-tier AI conferences (e.g., NeurIPS, ICML, ACL, EMNLP) is highly desirable. Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX is required. Proficiency in programming languages like Python is essential. Experience with large language models (LLMs), transformer architectures, and related NLP techniques is a significant plus. Strong analytical and problem-solving skills, along with the ability to work independently and contribute effectively to a remote team environment, are crucial for success in this role.
Lead AI Engineer - Natural Language Processing
Posted 4 days ago
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Responsibilities:
- Lead the design, development, and implementation of advanced NLP models and algorithms.
- Oversee the entire lifecycle of NLP projects, from data acquisition and preprocessing to model training, evaluation, and deployment.
- Develop and maintain scalable NLP pipelines and infrastructure.
- Research and apply state-of-the-art NLP techniques, including deep learning models, to solve complex business problems.
- Collaborate with cross-functional teams to define NLP project requirements and success metrics.
- Mentor and guide junior engineers and researchers within the AI team.
- Stay abreast of the latest research and advancements in NLP and AI.
- Ensure the performance, scalability, and reliability of deployed NLP systems.
- Contribute to the company's intellectual property through publications and patent applications.
- Work with product teams to integrate NLP features into customer-facing applications.
- Optimize models for efficiency and performance in production environments.
- Conduct rigorous experimentation and validation of NLP approaches.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field with a focus on NLP.
- Minimum of 7 years of experience in AI/ML engineering, with at least 4 years dedicated to Natural Language Processing.
- Deep understanding of NLP fundamentals, including tokenization, parsing, named entity recognition, sentiment analysis, topic modeling, and machine translation.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Proven experience in building and deploying production-ready NLP models.
- Strong programming skills in Python.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent leadership, communication, and interpersonal skills.
- Demonstrated ability to lead technical projects and mentor team members.
- Published research in top-tier NLP or AI conferences is a significant plus.
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Lead AI Engineer - Natural Language Processing
Posted 4 days ago
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Responsibilities:
- Lead the design, development, and implementation of sophisticated NLP models and algorithms, including deep learning architectures (e.g., Transformers, RNNs, CNNs).
- Develop and optimize NLP pipelines for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Collaborate with cross-functional teams, including product managers, software engineers, and data scientists, to integrate NLP capabilities into client-facing products and internal tools.
- Evaluate and benchmark the performance of NLP models, identifying areas for improvement and implementing advanced techniques.
- Stay current with the latest research and advancements in NLP, machine learning, and artificial intelligence.
- Mentor and guide junior AI engineers and researchers, fostering a culture of innovation and technical excellence.
- Contribute to the company's AI strategy and roadmap.
- Ensure the scalability, reliability, and efficiency of deployed AI solutions.
- Manage cloud-based AI/ML infrastructure and tools.
- Write high-quality, well-documented code in Python and other relevant programming languages.
- Present technical findings and project updates to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying production-level NLP models.
- Deep understanding of NLP concepts, algorithms, and state-of-the-art techniques.
- Proficiency in Python and relevant ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, spaCy, NLTK).
- Experience with large language models (LLMs) and their applications.
- Strong software engineering skills, including experience with version control (Git) and cloud platforms (AWS, Azure, GCP).
- Proven experience in leading technical projects and mentoring junior team members.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities, capable of working effectively in a fully remote environment.
- Experience with data annotation, augmentation, and evaluation strategies for NLP tasks.
AI Research Scientist - Natural Language Processing
Posted 5 days ago
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Job Description
Responsibilities:
- Conduct theoretical and applied research in NLP, machine learning, and deep learning.
- Design, implement, and evaluate novel NLP algorithms and models for tasks such as text classification, sentiment analysis, machine translation, summarization, and question answering.
- Develop and fine-tune large language models (LLMs) for various downstream applications.
- Stay abreast of the latest advancements in NLP and AI research, publishing findings in top-tier conferences and journals.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Analyze and interpret complex datasets to extract insights and inform model development.
- Contribute to the development of intellectual property, including patents and publications.
- Mentor junior researchers and interns, fostering a collaborative and innovative research environment.
- Present research findings to technical and non-technical audiences, including executive leadership.
- Explore and experiment with new AI techniques and tools to enhance research capabilities.
- Contribute to the strategic direction of AI research within the organization.
- Develop efficient methods for model training, deployment, and inference.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
- Proven track record of impactful research in NLP, demonstrated through publications in leading NLP/AI conferences (ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR).
- Strong theoretical and practical understanding of deep learning architectures (e.g., Transformers, RNNs, CNNs) and their application to NLP.
- Proficiency in programming languages such as Python and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Hands-on experience with LLMs and their underlying principles.
- Experience with large-scale data processing and distributed training environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team setting.
- Ability to translate complex research concepts into actionable insights and engineering plans.
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads is a plus.
AI Research Scientist - Natural Language Processing
Posted 5 days ago
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