6,704 Openai jobs in the United States
OpenAI Prompt Engineer
Posted 1 day ago
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We are looking for two highly skilled OpenAI Prompt Engineers to join our team. In this role, you will leverage advanced prompt engineering techniques to transform complex data into actionable insights and high-quality outputs for client presentations. This position offers an exciting opportunity to work with cutting-edge AI technologies.
Responsibilities:
- Develop and refine input and output prompts using OpenAI tools to generate precise and detail-oriented client-ready documents.
- Train AI models by integrating and processing large datasets, including Excel files, to enhance their performance and accuracy.
- Collaborate with the sales team to design strategy recommendations and create efficient workflows for delivering high-quality presentations.
- Modify and optimize outputs from ChatGPT to meet client requirements within tight timeframes.
- Implement robust security measures to protect sensitive client data and ensure compliance with industry standards.
- Utilize cloud technologies and advanced business process methodologies to streamline operations.
- Troubleshoot and resolve issues related to prompt engineering and AI model performance.
- Maintain thorough documentation of processes, workflows, and security protocols.
- Provide guidance and training to team members on advanced AI prompt engineering practices.
- Work closely with clients to understand their needs and customize AI solutions accordingly.
Requirements - Proven experience in prompt engineering and working with OpenAI tools such as ChatGPT.
- Strong proficiency in managing and processing large datasets, particularly in Excel.
- Knowledge of cloud technologies and their application in business processes.
- Familiarity with advanced AI security protocols and practices.
- Ability to create effective workflows for data transformation and presentation.
- Excellent problem-solving skills and a detail-oriented approach.
- Strong communication skills to collaborate with teams and clients.
- Background in investment management or related industries is a plus. Technology Doesn't Change the World, People Do.®
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AI/Machine Learning Research Scientist - Natural Language Processing
Posted 19 days ago
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Job Description
Responsibilities:
- Conduct fundamental and applied research in NLP and related AI fields.
- Design, implement, and evaluate novel machine learning algorithms and models for various NLP tasks.
- Collaborate with other researchers and engineers to translate research concepts into practical applications.
- Process and analyze large-scale text datasets to identify patterns and insights.
- Stay current with the latest research in NLP, deep learning, and artificial intelligence.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts for new NLP features and capabilities.
- Contribute to the open-source community where appropriate.
- Mentor junior researchers and engineers.
- Contribute to the intellectual property portfolio of the company.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on NLP.
- 3+ years of post-doctoral or industry research experience in NLP.
- Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers, spaCy).
- Proficiency in programming languages such as Python.
- Strong publication record in leading NLP/ML conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Experience with large language models (LLMs), transformer architectures, and related techniques.
- Excellent problem-solving skills and the ability to think creatively and analytically.
- Strong communication and collaboration skills, comfortable working within a distributed team.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- A passion for pushing the boundaries of AI research.
This role is a fully remote position, open to candidates residing anywhere in the United States. The role is conceptually tied to research originating from Richmond, Virginia, US .
AI Research Scientist - Natural Language Processing
Posted 3 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing and related AI fields.
- Design, develop, and implement advanced NLP models, including deep learning architectures (e.g., Transformers, RNNs, LSTMs).
- Train and fine-tune large language models (LLMs) on diverse datasets.
- Develop algorithms for various NLP tasks such as text classification, named entity recognition, summarization, and machine translation.
- Evaluate the performance of NLP models using rigorous quantitative and qualitative metrics.
- Stay current with the latest advancements in AI, machine learning, and NLP research papers and conferences.
- Collaborate with engineering teams to translate research prototypes into production-ready systems.
- Publish research findings in top-tier academic journals and conferences.
- Mentor junior researchers and engineers in AI and NLP techniques.
- Contribute to the strategic direction of AI research within the organization.
- Work with large-scale text and speech data, performing necessary preprocessing and feature engineering.
- Identify new research opportunities and potential applications of AI in our domain.
- Contribute to the development of intellectual property through patents and publications.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Proven track record of research and publication in top NLP conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Strong theoretical understanding of machine learning and deep learning principles.
- Expertise in NLP techniques and their applications.
- Proficiency in programming languages such as Python.
- Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Experience working with large datasets and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts.
- Ability to work collaboratively in a research-intensive environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Demonstrated ability to lead research initiatives and mentor team members.
- Must be able to commute to our **Kansas City, Missouri, US** office for collaborative work sessions.
AI Research Scientist - Natural Language Processing
Posted 3 days ago
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Job Description
AI Research Scientist - Natural Language Processing
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct state-of-the-art research in NLP, focusing on areas such as sentiment analysis, machine translation, text generation, and question answering.
- Design, develop, and implement novel NLP models and algorithms using deep learning frameworks.
- Analyze and interpret large-scale text datasets to extract meaningful insights and improve model performance.
- Collaborate with a multidisciplinary team of researchers, engineers, and product managers to translate research findings into practical solutions.
- Stay abreast of the latest research publications, conferences, and trends in AI and NLP.
- Publish research findings in leading academic journals and present at international conferences.
- Develop prototypes and proofs-of-concept for new AI-driven features and products.
- Contribute to the development of robust and scalable NLP pipelines and infrastructure.
- Mentor junior researchers and contribute to the team's intellectual property development.
- Evaluate and benchmark the performance of NLP models against established metrics.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- Proven track record of research and publication in top-tier NLP conferences and journals.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, and experience with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Deep understanding of various NLP techniques, including transformer architectures, recurrent neural networks, and word embeddings.
- Experience with large language models (LLMs) and their applications.
- Strong analytical and problem-solving skills with a rigorous approach to experimentation.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Ability to work effectively both independently and collaboratively in a hybrid work environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
This is a unique opportunity to contribute to groundbreaking AI research and development. Our client offers a stimulating work environment, competitive compensation, and the chance to make a significant impact on the future of artificial intelligence.
AI Research Scientist - Natural Language Processing
Posted 3 days ago
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Job Description
Responsibilities:
- Conduct advanced research in Natural Language Processing (NLP), including areas such as language modeling, machine translation, sentiment analysis, and text generation.
- Design, implement, and evaluate novel NLP algorithms and models.
- Develop and deploy AI systems that leverage state-of-the-art NLP techniques.
- Collaborate with a team of researchers and engineers to define research directions and project roadmaps.
- Stay abreast of the latest academic research and industry trends in AI, machine learning, and NLP.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts to demonstrate the viability of new approaches.
- Analyze large datasets to extract insights and improve model performance.
- Contribute to the intellectual property of the company through patents and publications.
- Mentor junior researchers and contribute to a collaborative research environment.
- Translate complex research concepts into practical applications and business solutions.
- Present research findings and project progress to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field with a strong focus on NLP.
- Proven track record of research in NLP, evidenced by publications in top-tier conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Deep understanding of machine learning fundamentals and various NLP techniques (e.g., transformers, RNNs, LSTMs, attention mechanisms).
- Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Experience with large-scale data processing and distributed computing environments.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills, with the ability to convey complex technical ideas clearly.
- Ability to work independently and collaboratively in a research-intensive environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Familiarity with software engineering best practices for model deployment and lifecycle management.
AI Research Scientist - Natural Language Processing
Posted 4 days ago
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Job Description
As an intern, you will be involved in designing experiments, developing and evaluating novel NLP algorithms, and implementing them using state-of-the-art deep learning frameworks (e.g., PyTorch, TensorFlow). You will have access to significant computational resources and large datasets. The ideal candidate possesses a strong theoretical foundation in machine learning, deep learning, and NLP, coupled with practical programming skills in Python. A passion for scientific inquiry, a curious mindset, and the ability to work independently and as part of a virtual team are essential. This internship is fully remote, allowing you to gain valuable experience from anywhere. We are looking for individuals who are eager to push the boundaries of what's possible in AI and contribute to groundbreaking research.
Key Responsibilities:
- Conduct research in areas of Natural Language Processing (NLP), including language modeling, text understanding, and generation.
- Develop and implement novel NLP algorithms and models using deep learning frameworks.
- Design and execute experiments to evaluate the performance of NLP models.
- Analyze research results and contribute to academic publications and internal reports.
- Collaborate with senior researchers and engineers on challenging AI problems.
- Stay current with the latest advancements in NLP and machine learning research.
- Contribute to the development of new AI products and features.
- Troubleshoot and debug code and models as needed.
- Document research findings and methodologies clearly.
- Participate actively in research discussions and team meetings.
- Currently pursuing a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Strong theoretical understanding of NLP, machine learning, and deep learning concepts.
- Proficiency in Python and experience with ML/DL libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
- Experience with data processing and manipulation techniques for text data.
- Solid academic record with publications in relevant conferences or journals (a plus).
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, with the ability to work effectively in a remote team.
- Demonstrated passion for AI research and innovation.
- Self-motivated with the ability to work independently and manage time effectively.
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AI Research Scientist - Natural Language Processing
Posted 4 days ago
Job Viewed
Job Description
- Conducting cutting-edge research in Natural Language Processing, including areas such as language understanding, generation, machine translation, and sentiment analysis.
- Developing and implementing novel NLP algorithms and models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Designing and executing experiments to evaluate the performance and effectiveness of NLP models.
- Staying abreast of the latest advancements in AI, machine learning, and NLP research through literature review and conference participation.
- Collaborating with a team of world-class researchers and engineers to translate research findings into practical applications.
- Publishing research findings in top-tier academic conferences and journals.
- Developing prototypes and proofs-of-concept to demonstrate the viability of new AI technologies.
- Contributing to the overall intellectual property and technical vision of the AI research group.
- Mentoring junior researchers and contributing to a collaborative research environment.
- Analyzing large-scale text datasets to extract insights and inform model development.
Required qualifications include a Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field. A strong publication record in reputable NLP or AI venues is essential. Proven expertise in deep learning techniques for NLP, including transformer architectures, RNNs, and LSTMs, is mandatory. Proficiency in Python and experience with popular NLP libraries (e.g., Hugging Face Transformers, NLTK, SpaCy) are required. Experience with large language models (LLMs) and their applications is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are crucial. Strong communication and presentation skills, with the ability to articulate complex research concepts clearly, are essential. Ability to work independently and collaboratively in a remote research setting is critical. This is an unparalleled opportunity to shape the future of AI and NLP.
AI Research Scientist - Natural Language Processing
Posted 4 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct advanced research in Natural Language Processing (NLP) and related AI fields.
- Develop, implement, and optimize NLP models and algorithms for various applications, including but not limited to: machine translation, text summarization, sentiment analysis, named entity recognition, and question answering systems.
- Design and conduct experiments to evaluate the performance of NLP models and algorithms.
- Stay abreast of the latest research and advancements in NLP and machine learning through literature review and conference participation.
- Collaborate with a team of researchers and engineers to translate research findings into practical applications and product features.
- Publish research findings in top-tier academic conferences and journals.
- Develop and maintain high-quality code for research experiments and implementations.
- Mentor junior researchers and interns.
- Contribute to the overall research strategy and roadmap.
- Present research results to technical and non-technical audiences.
The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field with a strong focus on NLP. Demonstrated experience in developing and deploying NLP models using frameworks like TensorFlow, PyTorch, or scikit-learn is essential. Excellent programming skills in Python are required. A proven track record of research publications in reputable venues is highly desirable. This is a remote-first position, allowing you to work from anywhere while contributing to our **Huntsville, Alabama, US**-based research initiatives. We seek individuals who are highly analytical, creative, and passionate about advancing the field of AI.
AI Research Scientist, Natural Language Processing
Posted 4 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing and related AI fields.
- Develop and implement novel algorithms and deep learning models for NLP tasks.
- Design and execute research experiments, analyze results, and interpret findings.
- Publish research in leading AI conferences and journals.
- Collaborate with other researchers and engineers on AI projects.
- Contribute to the development of new AI products and features.
- Stay abreast of the latest advancements in AI and NLP.
- Mentor junior researchers and interns.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Proven track record of research and publications in top-tier AI/NLP venues.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant AI/ML libraries.
- Strong understanding of NLP concepts, techniques, and state-of-the-art models (e.g., transformers, LLMs).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with experience working in a remote research environment.
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