4 Senior AI Research Scientist Natural Language Processing jobs in whatjobs
Senior AI Research Scientist - Natural Language Processing
Posted 19 days ago
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Job Description
- Conducting advanced research in NLP areas such as sentiment analysis, topic modeling, machine translation, question answering, and text summarization.
- Developing and optimizing deep learning models (e.g., Transformers, LSTMs, CNNs) for various NLP tasks.
- Designing and implementing experiments to evaluate model performance and identify areas for improvement.
- Collaborating with software engineers to integrate research prototypes into production systems.
- Staying abreast of the latest advancements in AI, machine learning, and NLP through literature review and conference participation.
- Mentoring junior researchers and contributing to the team's knowledge sharing.
- Presenting research findings to technical and non-technical audiences.
- Ensuring ethical considerations and bias mitigation are integrated into AI models.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related quantitative field.
- Proven track record of research and publications in top-tier AI/NLP conferences and journals.
- Deep understanding of machine learning principles and algorithms, particularly in NLP.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with large language models (LLMs) and their applications.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and as part of a team in a fast-paced environment.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Familiarity with data science libraries like NumPy, Pandas, and Scikit-learn.
Senior AI Research Scientist - Natural Language Processing
Posted 19 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in NLP, including but not limited to areas like language modeling, machine translation, sentiment analysis, text summarization, and question answering.
- Design, develop, and implement novel AI algorithms and deep learning models for NLP tasks.
- Evaluate and benchmark model performance, identifying areas for improvement and optimization.
- Collaborate with engineers to deploy research prototypes into production-ready systems.
- Stay abreast of the latest advancements in AI, machine learning, and NLP through continuous learning and literature review.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and interns, providing guidance and technical support.
- Contribute to the formulation of the company's AI research strategy and roadmap.
- Develop and maintain comprehensive documentation for research projects and models.
- Present research findings to both technical and non-technical audiences.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP.
- 5+ years of post-doctoral research experience or equivalent industry experience in AI/ML/NLP.
- Demonstrated track record of impactful research in NLP, evidenced by publications, patents, or significant contributions to open-source projects.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Expertise in various NLP techniques, including transformer architectures (e.g., BERT, GPT), RNNs, LSTMs, and attention mechanisms.
- Experience with large-scale datasets and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
Senior AI Research Scientist - Natural Language Processing
Posted 18 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas such as language modeling, sentiment analysis, machine translation, question answering, and dialogue systems.
- Design, implement, and evaluate novel deep learning architectures and algorithms for NLP tasks.
- Develop and refine state-of-the-art NLP models and techniques to solve complex real-world problems.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with cross-functional teams, including engineers and product managers, to translate research into practical applications.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Develop and maintain robust experimental frameworks for reproducible research.
- Contribute to the ethical development and deployment of AI technologies.
- Explore new research directions and identify opportunities for innovation.
- A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- A minimum of 5 years of post-doctoral or industry research experience in NLP.
- Demonstrated track record of significant research contributions in NLP, evidenced by publications in top-tier venues (e.g., ACL, EMNLP, NeurIPS, ICML).
- Deep understanding of machine learning, deep learning, and classical NLP techniques.
- Proficiency in programming languages such as Python, and familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed computing.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, with the ability to present complex technical concepts effectively in a remote environment.
- Proven ability to work independently and drive research projects from conception to completion.
- Experience with model optimization, deployment, and scaling is a plus.
Senior AI Research Scientist - Natural Language Processing
Posted 10 days ago
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Job Description
As a Senior AI Research Scientist, you will be expected to conduct independent research, identify novel approaches to solve complex NLP challenges, and publish your findings in top-tier conferences and journals. You will collaborate closely with other AI researchers, machine learning engineers, and software developers to translate research concepts into production-ready solutions. This is a remote-first position, requiring excellent communication and collaboration skills, as well as the ability to work effectively in a distributed team environment. You should be proficient in Python and have extensive experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. Familiarity with cloud platforms such as AWS, Azure, or GCP is also highly desirable.
Key Responsibilities:
- Lead research initiatives in NLP, focusing on areas such as transformer models, few-shot learning, and ethical AI development.
- Design, implement, and evaluate state-of-the-art NLP models for various tasks including text summarization, entity recognition, and dialogue systems.
- Collaborate with engineering teams to deploy models into production environments, ensuring scalability and performance.
- Stay abreast of the latest advancements in AI and NLP research, and identify opportunities for innovation.
- Mentor junior researchers and engineers, fostering a culture of learning and continuous improvement.
- Write high-quality technical documentation, research papers, and present findings to technical and non-technical audiences.
- Contribute to the ethical considerations and bias mitigation in AI models.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on NLP.
- Proven track record of research contributions in NLP, evidenced by publications in reputable venues.
- 5+ years of hands-on experience in developing and deploying NLP models.
- Expertise in Python and deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of machine learning principles and algorithms.
- Experience with large language models (LLMs) and their applications.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and collaboration abilities for a remote setting.
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