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OpenAI Prompt Engineer
Posted 6 days 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 25 days ago
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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 .
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AI Research Scientist - Natural Language Processing
Posted today
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AI Research Scientist - Natural Language Processing
Posted today
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AI Research Scientist - Natural Language Processing
Posted 2 days ago
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AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Key responsibilities include:
- Designing, implementing, and evaluating novel NLP models and algorithms.
- Conducting research into areas such as deep learning for NLP, transformer architectures, and language generation.
- Developing and maintaining robust NLP pipelines for data preprocessing, feature extraction, and model deployment.
- Collaborating with cross-functional teams to integrate NLP solutions into existing and new products.
- Analyzing and interpreting large datasets to identify patterns and insights relevant to NLP tasks.
- Staying current with the latest advancements in AI, machine learning, and NLP research through literature review and conference participation.
- Publishing research findings in top-tier academic conferences and journals.
- Contributing to the intellectual property portfolio of the company through patent applications.
- Mentoring junior researchers and interns in NLP techniques.
- Participating in code reviews and contributing to the overall quality of research software.
- Engaging in remote brainstorming sessions and contributing to strategic research planning.
The ideal candidate will hold a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a strong specialization in NLP. Proven experience in developing and deploying NLP models using frameworks like TensorFlow, PyTorch, or scikit-learn is required. Deep understanding of linguistic principles and computational linguistics is essential. Excellent programming skills in Python and experience with big data technologies are necessary. Strong analytical, problem-solving, and critical thinking abilities are crucial. Excellent communication and collaboration skills are needed to work effectively in a hybrid team environment. This role offers a unique opportunity to conduct pioneering AI research and shape the future of NLP applications.
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AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP).
- Develop and implement novel AI models for language understanding and generation.
- Design and execute experiments to evaluate algorithm performance.
- Publish research findings in leading academic venues.
- Collaborate with engineering teams to deploy AI models into products.
- Explore and apply advanced machine learning and deep learning techniques.
- Contribute to the strategic direction of AI research initiatives.
- Mentor junior researchers and interns in the AI lab.
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AI Research Scientist - Natural Language Processing
Posted 3 days ago
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Key Responsibilities:
- Conduct advanced research in Natural Language Processing, including areas like large language models (LLMs), text generation, summarization, question answering, and machine translation.
- Design, develop, and implement novel NLP algorithms and deep learning architectures.
- Train, fine-tune, and evaluate large-scale NLP models using relevant datasets.
- Collaborate with engineering teams to deploy research prototypes into production environments.
- Stay abreast of the latest advancements in AI, machine learning, and NLP through literature review and conference participation.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the intellectual property portfolio through patent applications.
- Work closely with product managers and other researchers to define research roadmaps and project goals.
- Mentor junior researchers and interns.
- Analyze and interpret complex data to drive research insights.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- Minimum of 4 years of research experience in NLP, with a proven track record of publications in leading conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Expertise in NLP techniques, including transformers, recurrent neural networks (RNNs), and convolutional neural networks (CNNs).
- Proficiency in programming languages like Python, with extensive experience in relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Experience with large-scale data processing and distributed computing is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills, with the ability to articulate complex research ideas.
- Ability to work both independently and collaboratively within a research team.
This is an exceptional opportunity for a talented AI researcher to contribute to cutting-edge advancements in NLP and shape the future of intelligent systems. Our client offers a competitive compensation package, generous benefits, and a stimulating research environment.
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AI Research Scientist - Natural Language Processing
Posted 4 days ago
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AI Research Scientist - Natural Language Processing
Posted 4 days ago
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Job Description
Responsibilities:
- Conduct research in areas such as deep learning, machine learning, and NLP for tasks like text generation, sentiment analysis, machine translation, and question answering.
- Design, implement, and evaluate novel NLP models and algorithms.
- Develop and maintain robust, scalable ML pipelines for training and inference.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and NLP by reading research papers and attending conferences.
- Publish research findings in leading academic venues.
- Mentor junior researchers and interns.
- Contribute to the strategic direction of the company's AI initiatives.
- Analyze large datasets to extract meaningful insights and identify areas for model improvement.
- Present complex technical concepts to both technical and non-technical audiences.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 3+ years of hands-on research experience in NLP, with a strong publication record.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Deep understanding of NLP techniques including transformers, LSTMs, RNNs, and their applications.
- Experience with large language models (LLMs) and their fine-tuning.
- Strong mathematical and statistical background.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a remote team.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Strong communication and collaboration skills.
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