13 Lead AI Research Scientist Nlp jobs in whatjobs
Lead AI Research Scientist (NLP)
Posted 20 days ago
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Job Description
Responsibilities:
- Lead research and development efforts in advanced NLP techniques, including but not limited to, large language models (LLMs), sentiment analysis, machine translation, and text generation.
- Design, implement, and evaluate novel AI algorithms and models.
- Mentor and guide a team of AI engineers and researchers, fostering innovation and technical excellence.
- Collaborate with product teams to integrate AI solutions into client offerings.
- Publish research findings in top-tier AI conferences and journals.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Develop and maintain robust, scalable AI pipelines and infrastructure.
- Identify and evaluate new technologies and methodologies to enhance our AI capabilities.
- Contribute to the intellectual property portfolio through patents and publications.
- Present research outcomes and project progress to stakeholders.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of hands-on experience in AI research and development, with a strong specialization in NLP.
- Proven track record of leading research projects and publishing in leading AI venues.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python.
- Deep understanding of statistical modeling, machine learning algorithms, and data structures.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership, communication, and interpersonal skills.
- Ability to work effectively in a fully remote, collaborative environment.
- Experience with LLMs and prompt engineering is highly desirable.
Lead AI Research Scientist - NLP
Posted 20 days ago
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Job Description
Key Responsibilities:
- Lead the research and development of novel NLP models and algorithms for tasks such as text generation, sentiment analysis, machine translation, and information extraction.
- Design and conduct experiments to evaluate model performance, identify areas for improvement, and validate research hypotheses.
- Mentor and guide junior researchers and engineers, fostering a collaborative and innovative team environment.
- Stay abreast of the latest advancements in AI, NLP, and related fields through continuous learning and engagement with the research community.
- Publish research findings in top-tier academic conferences and journals.
- Translate complex research concepts into practical, deployable AI solutions.
- Collaborate with product and engineering teams to integrate AI capabilities into our client's offerings.
- Develop and maintain robust research infrastructure and tools.
- Contribute to shaping the long-term AI research roadmap.
- Champion best practices in AI ethics, fairness, and interpretability.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a specialization in NLP.
- Minimum of 7 years of post-doctoral research experience in AI/ML, with at least 3 years focusing on NLP.
- Proven track record of significant contributions to NLP research, evidenced by publications in leading venues (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers).
- Strong programming skills in Python and experience with software development best practices.
- Experience leading research projects and mentoring team members.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Superb communication and presentation skills, capable of conveying complex technical concepts to diverse audiences.
- Ability to work autonomously, drive innovation, and manage research projects effectively in a fully remote setting.
- Experience with large-scale data processing and distributed computing is a plus.
Lead AI Research Scientist (NLP)
Posted 18 days ago
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Job Description
Key Responsibilities:
- Lead research and development efforts in Natural Language Processing, including text generation, sentiment analysis, machine translation, and question answering.
- Design, implement, and evaluate novel NLP models and algorithms using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Conduct cutting-edge research and publish findings in top-tier AI conferences and journals.
- Collaborate with cross-functional teams, including engineers and product managers, to integrate research breakthroughs into production systems.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Stay abreast of the latest advancements in AI, machine learning, and NLP, and identify opportunities for innovation.
- Develop and maintain robust research infrastructure and tools.
- Define research roadmaps and strategic objectives for the NLP team.
- Analyze large datasets to extract insights and inform model development.
- Present research findings and technical proposals to both technical and non-technical audiences.
- Contribute to intellectual property development, including patent applications.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong specialization in NLP.
- 5+ years of experience in AI research and development, with a significant focus on NLP.
- Proven track record of publishing impactful research in leading NLP conferences (e.g., ACL, EMNLP, NeurIPS).
- Deep understanding of transformer architectures, LLMs, and other state-of-the-art NLP techniques.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with large-scale data processing and distributed computing.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- Experience leading research projects and mentoring junior team members.
- Ability to work effectively in a fully remote, collaborative, and fast-paced environment.
- Demonstrated ability to translate research ideas into practical applications.
This is a fully remote position, offering the flexibility to work from anywhere. You will be part of a forward-thinking team driving innovation in AI. The role requires exceptional self-motivation and the ability to manage complex research projects independently. While location is flexible, an understanding of global technological trends is essential.
Lead AI Research Scientist - NLP
Posted 18 days ago
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Job Description
Lead AI Research Scientist - NLP
Posted 17 days ago
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Job Description
Key Responsibilities:
- Conduct advanced research in NLP, exploring new algorithms, models, and techniques.
- Lead the design, development, and implementation of state-of-the-art NLP models and systems.
- Manage and mentor a team of AI researchers and engineers, fostering a collaborative and innovative research environment.
- Publish research findings in top-tier conferences and journals, and represent the company at industry events.
- Collaborate with product teams to translate research breakthroughs into practical applications and features.
- Develop and prototype novel AI solutions that address complex business challenges.
- Stay at the forefront of AI and NLP research, identifying emerging trends and opportunities.
- Evaluate and benchmark the performance of NLP models, ensuring robustness and scalability.
- Contribute to the development of intellectual property, including patents and proprietary algorithms.
- Manage research projects from conception through to deployment, ensuring timely delivery in a remote setting.
- Provide technical leadership and guidance on AI strategy and roadmaps.
- Ensure ethical considerations and responsible AI practices are integrated into all research and development.
The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a minimum of 8 years of post-doctoral research experience or equivalent industry experience in leading AI research teams. A strong publication record in top NLP venues (e.g., ACL, EMNLP, NeurIPS) is essential. Deep expertise in Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP libraries (e.g., Hugging Face Transformers, SpaCy) is required. Proven experience in leading complex research projects and delivering impactful results in a remote environment is crucial. You should possess exceptional analytical, problem-solving, and communication skills. This is a rare opportunity to work at the forefront of AI innovation with a highly motivated and talented global team. We seek individuals who are passionate about advancing the field of NLP and possess a vision for its future applications.
Location: This is a fully remote position.
Lead AI Research Scientist - NLP
Posted 18 days ago
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Job Description
The ideal candidate possesses a Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a closely related field, with a strong publication record in NLP. You must have extensive experience in deep learning frameworks (e.g., TensorFlow, PyTorch), model architecture design, and programming languages such as Python. This is a remote-first position, requiring exceptional self-direction, strong analytical and problem-solving skills, and the ability to collaborate effectively with a distributed team. You will be expected to mentor junior researchers, manage research projects, and contribute to the overall strategic direction of the AI research division. A deep understanding of current NLP research trends and a passion for pushing the boundaries of AI are essential.
Key Responsibilities:
- Lead research initiatives in advanced Natural Language Processing (NLP) areas.
- Design, develop, and implement novel NLP models and algorithms.
- Supervise and mentor a team of AI researchers and engineers.
- Conduct experiments, analyze results, and interpret complex data.
- Publish research findings in leading academic conferences and journals.
- Collaborate with product teams to integrate AI research into practical applications.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Contribute to the strategic vision and roadmap for AI research.
- Manage research projects, including timelines, resources, and deliverables.
- Foster a collaborative and innovative research environment within the remote team.
- Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field.
- Minimum of 8 years of post-doctoral research experience in NLP and Machine Learning.
- A strong publication record in top-tier NLP and AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras.
- Proficiency in Python and relevant libraries (e.g., scikit-learn, spaCy, NLTK, Hugging Face Transformers).
- Deep understanding of various NLP tasks and modern NLP architectures (e.g., Transformers, BERT, GPT).
- Excellent analytical, critical thinking, and problem-solving abilities.
- Proven ability to lead research teams and manage complex projects remotely.
- Strong communication and presentation skills for disseminating research findings.
Lead AI Research Scientist (NLP)
Posted 11 days ago
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Job Description
Responsibilities:
- Lead research projects in NLP, from conception to completion.
- Design, develop, and implement novel NLP algorithms and models.
- Conduct cutting-edge research in areas such as LLMs, transformers, and semantic understanding.
- Mentor and guide a team of AI researchers and engineers.
- Publish research findings in leading AI conferences and journals.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay current with the latest advancements in AI, ML, and NLP.
- Contribute to the development of the company's AI strategy and intellectual property.
- Evaluate and benchmark the performance of NLP models.
- Present research findings to both technical and non-technical audiences.
- Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a specialization in NLP.
- 5+ years of post-doctoral research experience or equivalent industry experience in AI/NLP.
- Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python.
- Deep understanding of NLP techniques, algorithms, and applications.
- Experience with large language models (LLMs) and transformer architectures.
- Proven ability to lead research teams and manage complex projects.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex ideas clearly.
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Lead AI Research Scientist - NLP
Posted 9 days ago
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Job Description
Key Responsibilities:
- Lead and conduct advanced research in NLP, focusing on areas such as large language models, text generation, sentiment analysis, and question answering.
- Design, implement, and evaluate novel NLP algorithms and models.
- Collaborate with engineering teams to deploy research prototypes into production environments.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and contribute to the intellectual growth of the team.
- Stay abreast of the latest advancements in AI and NLP research.
- Develop and manage research project roadmaps and timelines.
- Contribute to the company's intellectual property through patents and publications.
- Present research findings to technical and non-technical audiences.
- Champion best practices in AI research, development, and ethical considerations.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a specialization in NLP.
- Minimum of 6 years of post-doctoral or industry research experience in AI/NLP.
- Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers).
- Proven track record of publishing in leading AI conferences (e.g., NeurIPS, ICML, ACL).
- Strong programming skills in Python and experience with high-performance computing environments.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Exceptional communication and collaboration skills, vital for leading a remote research team.
- Ability to mentor and guide junior researchers effectively.
- Experience leading research projects and managing technical direction.
- Passion for pushing the boundaries of AI and its applications.
This is a unique opportunity to shape the future of AI in a collaborative, remote-first environment. If you are a visionary researcher ready to make a significant impact, we encourage you to apply.
Lead AI Research Scientist - NLP
Posted 5 days ago
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Job Description
Responsibilities:
- Lead research initiatives in Natural Language Processing, including areas like text generation, sentiment analysis, machine translation, and question answering.
- Develop and implement novel algorithms and models for advanced NLP tasks.
- Design and conduct experiments to evaluate the performance of AI models.
- Analyze large datasets to extract insights and identify trends for AI development.
- Stay at the forefront of AI and NLP research, staying updated with the latest academic publications and industry advancements.
- Publish research findings in top-tier AI conferences and journals.
- Mentor and guide junior research scientists and engineers.
- Collaborate with product teams to integrate AI solutions into client offerings.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the strategic direction of the AI research roadmap.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a specialization in NLP.
- Minimum of 7 years of research experience in AI/ML, with a strong focus on NLP.
- Proven track record of publishing research in reputable NLP/AI venues.
- Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers, spaCy).
- Strong understanding of machine learning principles, statistical modeling, and algorithms.
- Experience with large language models (LLMs) and transformer architectures.
- Proficiency in programming languages such as Python.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex research concepts.
- Ability to lead and inspire a remote research team.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Lead AI Research Scientist (NLP)
Posted 15 days ago
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