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60 Voice Natural Language Processing Engineer Jobs Hiring Near You

Keep abreast of the most recent developments in artificial intelligence, natural language processing, and machine learning. * Help the content and product teams comprehend efficient engineering best ...

Signal Processing Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... and natural language processing. * Spectrum monitoring and signal classification using machine ...

... natural language processing systems and technologies. YOUR RESPONSIBILITIES As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the ...

You will collaborate with cross-functional teams including developers, UX designers, and product ... Stay updated with advancements in conversational design, natural language processing, and AI ...

You will collaborate with cross-functional teams including developers, UX designers, and product ... Stay updated with advancements in conversational design, natural language processing, and AI ...

... Chatbot Engineer to join an Artificial Intelligence team. Join our Tech hub and work in a ... Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI ...

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

... Chatbot Engineer to join an Artificial Intelligence team. Join our Tech hub and work in a ... Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI ...

... Chatbot Engineer to join an Artificial Intelligence team. Join our Tech hub and work in a ... Description: ● Work on state of the art Machine Learning, Natural Language Processing and Gen AI ...

Showing results 21-40

Natural Language Processing and Large Language Models Developer - eFinancialCareers

eFinancialCareers

Manhattan, NY • On-site

Full-time

Re-posted 28 days ago


Job description

Join a dynamic team of innovative scientists, technologists, and scholars dedicated to transcending conventional methods. We aim to address intricate economic challenges and improve on alpha using the cutting-edge techniques of Natural Language Processing and Large Language Models

Position Overview:

Looking for visionary NLP and LLM focused scientists to harness the power of language to decode complex financial problems and manage vast volumes of textual data.

Key Responsibilities:

  1. Develop, and transition from concept to a functional prototype and final NLP or LLM product.
  2. Immerse yourself in a research-oriented environment, where you'll craft code, experiment with advanced NLP and LLM tools, and refine techniques to extract insights from financial narratives.
  3. Collaborate closely with various teams within our organization to seamlessly integrate your linguistic intelligence solutions into our products.
  4. Stay connected to the broader linguistic research community by fostering partnerships both internally and externally, and making a mark at relevant conferences.

Qualifications & Experience:

  1. Earned an advanced degree in Computer Science, Linguistics, Engineering, or another relevant field with an emphasis on NLP and LLM.
  2. Strong programming proficiency in languages such as Python, C++, Tensorflow, PyTorch, or similar.
  3. Past roles or internships centered around NLP, LLM, or related linguistic computational models.
  4. A foundation in language models, especially concerning extensive and multifaceted textual datasets, and an interest in applying these to financial challenges.
  5. Credible research contributions, preferably with publications in esteemed platforms focused on NLP or LLM such as ACL, EMNLP, or similar.
  6. Familiarity with cloud ecosystems and managing multi-machine configurations.
  7. Active involvement in the open-source linguistic community.