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    Natural Language Processing Engineer - Boston, United States - Merlin Labs

    Merlin Labs
    Merlin Labs Boston, United States

    6 days ago

    Default job background
    Description
    Merlin is an early stage autonomy company, building software to control sophisticated transportation systems.

    Our mission here at Merlin Labs is to develop hardware and software solutions that deliver the capability for aircraft to fly useful missions autonomously and safely.

    Our first product will be a certified system to bring automation to existing fixed wing aircraft


    We're backed by some of the top institutional venture capitalists in the country, our headquarters are located in Boston with hubs in Denver, Los Angeles and the Mojave Desert.

    Come join our diverse, world class team, made up of people from places like Google, Airbus, Boeing, UTC, the US Navy, and the US Air Force.

    about you

    02

    Description

    Are you a machine learning expert looking for applications of this technology that truly enhance the world you live in? Would you like to work on enhancing the safety of aviation by building machines that can understand spoken language? Do you want to own a significant portion of a key system for a new product? If so, you might be a good fit for the natural language processing team working on natural language understanding (semantic parsing) here at Merlin Labs.


    Responsibilities:
    Assist in development of a speech-to-semantics system optimized for air traffic communication, with a focus on semantic parsing
    Apply existing methods of semantic parsing to improve performance of our system
    Plan and develop experiments to test new ideas for our semantic parser
    Interact with annotators and data collection engineers to expand our systems training and test data
    Collaborate with other NLP engineers to integrate the speech-to-semantics system into our larger pipeline of Merlin's natural language understanding system
    Keep current with research in the semantic parsing community, and communicate discoveries with the rest of the NLP team

    Requirements:
    Masters degree in computer science or related field, or equivalent work experience
    Experience building natural language understanding products for research or commercial environment
    Fluency in Python, competency with C++ and/or Java
    Experience with deep learning techniques, including implementations via frameworks and libraries such as PyTorch, ArrayFire, and Tensorflow

    Bonus:
    Experience developing production-quality software on teams using tools such as Jira, GitHub, and continuous integration pipelines to facilitate project management, code review, and testing
    Experience with both neural and statistical methods of semantic parsing

    #J-18808-Ljbffr
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