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    Natural Language Processing and Large Language Models Developer - New York, NY, United States - Maven Search

    Maven Search
    Maven Search New York, NY, United States

    1 week ago

    Default job background
    Full time Technology / Internet
    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:

    • Develop, and transition from concept to a functional prototype and final NLP or LLM product.
    • 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.
    • Collaborate closely with various teams within our organization to seamlessly integrate your linguistic intelligence solutions into our products.
    • Stay connected to the broader linguistic research community by fostering partnerships both internally and externally, and making a mark at relevant conferences.

    Qualifications & Experience:

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