Explore opportunities related to OpenAI within the US job market. This rapidly evolving field offers roles in 6,166 Openai jobs in the United States
AI Research Scientist, Natural Language Processing
94107 San Francisco, California
$160000 Annually
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Job Description
Our client is at the forefront of artificial intelligence innovation and is searching for a brilliant AI Research Scientist specializing in Natural Language Processing (NLP) to join their cutting-edge, fully remote team. This role is ideal for a researcher who thrives on pushing the boundaries of what's possible in machine learning and language understanding. You will be responsible for conceptualizing, designing, and implementing novel NLP models and algorithms that drive significant advancements in our client's core products and services. This is a research-intensive position where you will collaborate with a world-class team of engineers and scientists, contributing to high-impact projects.
Key Responsibilities:
Qualifications:
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.
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.
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0
AI Research Scientist - Natural Language Processing
83702 Hidden Springs, Idaho
$140000 Annually
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Job Description
Our client is at the forefront of artificial intelligence innovation and is seeking an exceptional AI Research Scientist specializing in Natural Language Processing (NLP) to join their cutting-edge research team. This role, based in Boise, Idaho, US , will involve pushing the boundaries of NLP technology, developing novel algorithms, and creating state-of-the-art models that can understand, interpret, and generate human language. You will collaborate with a world-class team of researchers and engineers to translate groundbreaking research into practical applications that have a real-world impact.
Key Responsibilities:
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.
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1
AI Research Scientist - Natural Language Processing
68101 Omaha, Nebraska
$140000 Annually
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Job Description
Our client, a pioneering AI research lab, is seeking an exceptionally talented and innovative AI Research Scientist specializing in Natural Language Processing (NLP) to join their world-class, fully remote team. This is a unique opportunity to push the boundaries of AI research and contribute to groundbreaking advancements in language understanding and generation. You will be responsible for conducting cutting-edge research, developing novel algorithms, and implementing state-of-the-art NLP models. Your work will involve exploring areas such as sentiment analysis, text summarization, machine translation, question answering, and conversational AI. You will design and execute experiments, analyze results, and publish findings in leading AI conferences and journals. Collaboration with other researchers and engineers to integrate research prototypes into production systems will be a key aspect of the role. The ideal candidate possesses a deep theoretical understanding of machine learning and deep learning, with a strong focus on NLP techniques. Proven experience with frameworks like TensorFlow, PyTorch, or similar, and proficiency in programming languages such as Python are essential. A Ph.D. or equivalent research experience in AI, Machine Learning, Computer Science, or a related field is highly preferred. You must be a creative problem-solver with a passion for scientific inquiry and a track record of innovative contributions to the field of NLP. This role demands excellent analytical, critical thinking, and communication skills, with the ability to articulate complex research concepts effectively. If you are driven by intellectual curiosity and aspire to shape the future of AI through pioneering NLP research in a fully remote, collaborative environment, we invite you to apply.
Responsibilities:
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.
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2
Principal AI Researcher - Natural Language Processing
94105 San Francisco, California
$180000 Annually
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Job Description
Our client, a pioneering force in AI innovation, is searching for an exceptional Principal AI Researcher specializing in Natural Language Processing (NLP) to join their cutting-edge research division, based in San Francisco, California, US . This role is designed for a visionary leader who thrives on pushing the boundaries of AI, with a particular focus on developing next-generation NLP models and applications. You will be instrumental in defining the research roadmap, leading complex projects, and publishing groundbreaking work that will shape the future of human-computer interaction and intelligent systems.
Key Responsibilities:
Required Qualifications:
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 .
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 .
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3
Senior AI Engineer - Natural Language Processing
23218 Richmond, Virginia
$140000 Annually
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Job Description
Our client, a forward-thinking technology company, is actively recruiting a talented Senior AI Engineer with a specialization in Natural Language Processing (NLP) to join their innovative team. This role will involve designing, developing, and deploying advanced NLP models and solutions that drive our client's cutting-edge products and services. You will be responsible for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and conversational AI. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Computational Linguistics, or a related field, with a strong understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch, spaCy), and NLP techniques. Proven experience in Python programming and working with large datasets is essential. You will collaborate closely with product managers, software engineers, and data scientists to translate business requirements into practical AI solutions. Responsibilities include conducting research, experimenting with different models, fine-tuning existing systems, and ensuring the scalability and performance of deployed NLP applications. This position requires excellent problem-solving skills, a keen eye for detail, and the ability to communicate complex technical concepts effectively. You will play a key role in shaping the future of our client's AI capabilities. This hybrid role offers a balance of remote work and on-site collaboration at our Richmond, Virginia, US location.
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4
Lead AI Research Scientist - Natural Language Processing
27513 Whispering Pines, North Carolina
$150000 Annually
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Job Description
Our client is at the cutting edge of AI innovation and is seeking a visionary Lead AI Research Scientist specializing in Natural Language Processing (NLP) to join their globally distributed team. This role is ideally suited for a seasoned researcher passionate about pushing the boundaries of language understanding and generation. As a fully remote position, you will collaborate with world-class talent from diverse backgrounds, contributing to groundbreaking projects that will define the future of human-computer interaction.
In this pivotal role, you will drive the research and development of advanced NLP models and algorithms. Your work will involve exploring novel deep learning architectures, refining existing NLP techniques, and developing state-of-the-art solutions for tasks such as sentiment analysis, machine translation, text summarization, and question answering. You will be responsible for designing and executing research experiments, analyzing results, and publishing findings in top-tier conferences and journals. The Lead AI Research Scientist will also play a crucial role in mentoring junior researchers, guiding research strategy, and contributing to the intellectual property of the company. A strong academic background combined with hands-on experience in building and deploying sophisticated NLP systems is essential. You should be adept at working with large datasets and have a deep understanding of the latest advancements in transformer models and large language models.
Key Responsibilities:
In this pivotal role, you will drive the research and development of advanced NLP models and algorithms. Your work will involve exploring novel deep learning architectures, refining existing NLP techniques, and developing state-of-the-art solutions for tasks such as sentiment analysis, machine translation, text summarization, and question answering. You will be responsible for designing and executing research experiments, analyzing results, and publishing findings in top-tier conferences and journals. The Lead AI Research Scientist will also play a crucial role in mentoring junior researchers, guiding research strategy, and contributing to the intellectual property of the company. A strong academic background combined with hands-on experience in building and deploying sophisticated NLP systems is essential. You should be adept at working with large datasets and have a deep understanding of the latest advancements in transformer models and large language models.
Key Responsibilities:
- Lead research initiatives in Natural Language Processing, focusing on state-of-the-art techniques.
- Design, develop, and implement novel NLP algorithms and models using deep learning frameworks.
- Conduct rigorous experiments to evaluate model performance and identify areas for improvement.
- Analyze large-scale datasets to extract meaningful insights and inform model development.
- Publish research findings in leading academic conferences and journals.
- Collaborate with engineering teams to transition research prototypes into production systems.
- Mentor and guide junior AI researchers, fostering a culture of innovation and learning.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Define research roadmaps and strategic priorities in NLP.
- Present research findings to internal stakeholders and external audiences.
- Contribute to patent applications and the protection of intellectual property.
- Explore new applications of NLP across various domains.
- Ensure ethical considerations are integrated into AI research and development.
- Foster collaboration and knowledge sharing within the research team and across the organization.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field with a specialization in NLP.
- Proven track record of impactful research in NLP, evidenced by publications in top-tier venues (e.g., ACL, EMNLP, NeurIPS).
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Expertise in transformer architectures, large language models (LLMs), and related techniques.
- Proficiency in programming languages like Python.
- Strong understanding of machine learning principles and statistical modeling.
- Experience with data preprocessing, feature engineering, and model evaluation for NLP tasks.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior communication and presentation skills, capable of explaining complex technical concepts clearly.
- Ability to work independently and lead research projects effectively in a remote setting.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Demonstrated ability to mentor and lead research teams.
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5
Senior AI Research Scientist - Natural Language Processing
28202 Charlotte, North Carolina
$140000 Annually
WhatJobs
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Job Description
Our client is at the forefront of innovation in AI and emerging technologies, seeking a highly accomplished Senior AI Research Scientist specializing in Natural Language Processing (NLP) to join their globally distributed, remote-first team. This is a fully remote position, allowing you to work from anywhere within the US. You will play a pivotal role in developing and advancing state-of-the-art NLP models and algorithms that power next-generation AI solutions. This role requires a deep theoretical understanding of machine learning and NLP, coupled with a proven ability to translate research into practical applications.
Key Responsibilities:
Key Responsibilities:
- Conduct cutting-edge research in NLP, focusing on areas such as large language models (LLMs), text generation, sentiment analysis, information extraction, and machine translation.
- Design, implement, and evaluate novel deep learning architectures and algorithms for various NLP tasks.
- Collaborate with a world-class team of AI researchers and engineers in a fully remote environment.
- Publish research findings in top-tier AI conferences and journals.
- Develop and deploy NLP models into production systems, working closely with engineering teams.
- Mentor junior researchers and contribute to the team's technical growth.
- Stay abreast of the latest advancements in AI, machine learning, and NLP research.
- Contribute to the intellectual property portfolio through patent applications.
- Explore and prototype new AI capabilities that can drive significant business value.
- Ensure the ethical development and deployment of AI technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of post-doctoral or industry research experience in NLP and deep learning.
- A strong publication record in leading AI/ML/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Expertise in Python and common ML frameworks such as TensorFlow, PyTorch, or JAX.
- Deep understanding of modern NLP techniques, including transformers, LLMs, word embeddings, and sequence-to-sequence models.
- Proven experience in designing, training, and evaluating complex deep learning models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for effective remote teamwork.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Ability to work independently, manage research projects effectively, and deliver high-quality results in a remote setting.
Apply Now
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6
Principal AI Research Scientist, Natural Language Processing
78701 Austin, Texas
$180000 Annually
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Posted today
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Job Description
Our client is at the forefront of Artificial Intelligence and is looking for a Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their world-class research team. This is a fully remote, senior position focused on pushing the state-of-the-art in language understanding, generation, and interaction. You will lead ambitious research projects, explore novel AI techniques, and contribute to the development of groundbreaking products and services that leverage advanced NLP capabilities.
Your responsibilities will include defining research roadmaps, designing and implementing cutting-edge NLP models (e.g., transformers, large language models), and evaluating their performance rigorously. You will collaborate closely with other AI researchers, machine learning engineers, and product teams to translate research findings into impactful applications. A deep understanding of deep learning frameworks (TensorFlow, PyTorch), NLP libraries (Hugging Face Transformers, spaCy), and statistical modeling is required. Experience with large-scale data processing and model training is essential. We are seeking individuals who are passionate about solving complex language-related problems and have a proven ability to innovate and publish impactful research.
The ideal candidate holds a Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong publication record in top-tier AI/NLP conferences and journals. A minimum of 7 years of post-doctoral or industry research experience in NLP is mandatory. You must possess exceptional analytical and problem-solving skills, the ability to work independently and lead research initiatives, and excellent communication skills to articulate complex ideas. This fully remote role offers the flexibility to work from anywhere within the United States and collaborate with a globally distributed team. If you are driven by discovery and want to shape the future of how humans interact with technology through language, we invite you to apply.
Your responsibilities will include defining research roadmaps, designing and implementing cutting-edge NLP models (e.g., transformers, large language models), and evaluating their performance rigorously. You will collaborate closely with other AI researchers, machine learning engineers, and product teams to translate research findings into impactful applications. A deep understanding of deep learning frameworks (TensorFlow, PyTorch), NLP libraries (Hugging Face Transformers, spaCy), and statistical modeling is required. Experience with large-scale data processing and model training is essential. We are seeking individuals who are passionate about solving complex language-related problems and have a proven ability to innovate and publish impactful research.
The ideal candidate holds a Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong publication record in top-tier AI/NLP conferences and journals. A minimum of 7 years of post-doctoral or industry research experience in NLP is mandatory. You must possess exceptional analytical and problem-solving skills, the ability to work independently and lead research initiatives, and excellent communication skills to articulate complex ideas. This fully remote role offers the flexibility to work from anywhere within the United States and collaborate with a globally distributed team. If you are driven by discovery and want to shape the future of how humans interact with technology through language, we invite you to apply.
Apply Now
7
Senior AI Research Scientist - Natural Language Processing
30301 Atlanta, Georgia
$200000 Annually
WhatJobs
Posted today
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Job Description
Our client, a trailblazer in artificial intelligence and emerging technologies, is seeking a brilliant Senior AI Research Scientist specializing in Natural Language Processing (NLP) to join their innovative team. This fully remote position offers the opportunity to work on groundbreaking projects that push the boundaries of AI capabilities. The role is based remotely but contributes to our client's strategic vision for the future of AI.
The ideal candidate will have a Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong publication record and hands-on experience in developing and deploying state-of-the-art NLP models. You will be responsible for conducting cutting-edge research, contributing to algorithmic advancements, and developing novel applications that leverage the power of language understanding and generation.
Key Responsibilities:
The ideal candidate will have a Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong publication record and hands-on experience in developing and deploying state-of-the-art NLP models. You will be responsible for conducting cutting-edge research, contributing to algorithmic advancements, and developing novel applications that leverage the power of language understanding and generation.
Key Responsibilities:
- Conduct fundamental and applied research in Natural Language Processing, including areas such as machine translation, text summarization, sentiment analysis, question answering, and conversational AI.
- Develop novel algorithms and models for advanced NLP tasks, pushing the state-of-the-art.
- Design and implement experiments to evaluate model performance and identify areas for improvement.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier AI conferences and journals.
- Stay abreast of the latest advancements in NLP, machine learning, and deep learning.
- Mentor junior researchers and contribute to a collaborative research environment.
- Contribute to the strategic direction of AI research within the organization.
- Develop and maintain efficient, scalable, and robust NLP pipelines.
- Write technical documentation and present research findings to diverse audiences.
- Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related field.
- 5+ years of post-doctoral or industry research experience in NLP.
- Proven track record of significant contributions to NLP research, demonstrated through publications in top venues (e.g., ACL, EMNLP, NeurIPS, ICML).
- Deep understanding of deep learning architectures (e.g., Transformers, RNNs, CNNs) and their application to NLP.
- Proficiency in programming languages such as Python and relevant ML/DL frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed computing.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to articulate complex technical concepts.
- Ability to work independently and as part of a global, distributed team.
Apply Now
8
Senior AI Research Scientist - Natural Language Processing
75201 Prairie View, Texas
$150000 Annually
WhatJobs
Posted today
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Job Description
Our client is at the forefront of Artificial Intelligence and is seeking a brilliant and visionary Senior AI Research Scientist specializing in Natural Language Processing (NLP) to join their fully remote team. This role is for an individual passionate about pushing the boundaries of AI, developing cutting-edge models, and contributing to groundbreaking research that will shape the future of human-computer interaction. You will be instrumental in designing, developing, and implementing advanced NLP algorithms and models, including deep learning architectures, for tasks such as text generation, sentiment analysis, machine translation, question answering, and information extraction.
Your responsibilities will encompass conducting rigorous scientific research, formulating hypotheses, and designing experiments to validate novel approaches. You will collaborate closely with a world-class team of researchers and engineers, sharing insights and contributing to a culture of innovation. This includes staying abreast of the latest advancements in NLP and machine learning, critically evaluating existing research, and identifying opportunities for new research directions. You will be involved in the entire lifecycle of AI model development, from data collection and preprocessing to model training, evaluation, and deployment. This often involves working with large-scale datasets, requiring strong data wrangling and feature engineering skills.
A significant aspect of the role involves translating research findings into practical applications and prototypes, bridging the gap between theoretical advancements and real-world solutions. You will publish research findings in top-tier conferences and journals, contributing to the scientific community. Mentoring junior researchers and engineers, and guiding technical discussions will also be part of your contribution. The ideal candidate will possess a deep theoretical understanding of machine learning principles, particularly deep learning frameworks like TensorFlow or PyTorch, and a strong command of programming languages such as Python. Experience with distributed computing frameworks and cloud platforms (AWS, Azure, GCP) is highly beneficial. This is a unique opportunity to work on challenging problems with a global impact, in an environment that fosters intellectual curiosity and professional growth. If you are driven by discovery and eager to make a significant contribution to the field of AI, we encourage you to apply.
Qualifications:
Your responsibilities will encompass conducting rigorous scientific research, formulating hypotheses, and designing experiments to validate novel approaches. You will collaborate closely with a world-class team of researchers and engineers, sharing insights and contributing to a culture of innovation. This includes staying abreast of the latest advancements in NLP and machine learning, critically evaluating existing research, and identifying opportunities for new research directions. You will be involved in the entire lifecycle of AI model development, from data collection and preprocessing to model training, evaluation, and deployment. This often involves working with large-scale datasets, requiring strong data wrangling and feature engineering skills.
A significant aspect of the role involves translating research findings into practical applications and prototypes, bridging the gap between theoretical advancements and real-world solutions. You will publish research findings in top-tier conferences and journals, contributing to the scientific community. Mentoring junior researchers and engineers, and guiding technical discussions will also be part of your contribution. The ideal candidate will possess a deep theoretical understanding of machine learning principles, particularly deep learning frameworks like TensorFlow or PyTorch, and a strong command of programming languages such as Python. Experience with distributed computing frameworks and cloud platforms (AWS, Azure, GCP) is highly beneficial. This is a unique opportunity to work on challenging problems with a global impact, in an environment that fosters intellectual curiosity and professional growth. If you are driven by discovery and eager to make a significant contribution to the field of AI, we encourage you to apply.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
- 5+ years of hands-on research experience in Natural Language Processing and Machine Learning.
- Strong publication record in top-tier AI/NLP conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Deep understanding of state-of-the-art NLP techniques, including transformer models, RNNs, LSTMs, and attention mechanisms.
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing.
- Ability to design and conduct complex experiments and analyze results rigorously.
- Excellent problem-solving and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Apply Now
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