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    Deep Learning Engineer - San Francisco, United States - Dnnae

    Dnnae
    Dnnae San Francisco, United States

    2 weeks ago

    Default job background
    Description


    We are looking for a Deep Learning-Speech Engineer who will partner with both the business and technical teams to innovate and deliver new AI features and enhancements (particularly focused around audio) for our product.

    You will create and/or modify complex solutions that meet the expectations of users.

    You will also have a thorough knowledge of the entire system and work with product, engineering and other teams in the organization to deliver the best experience to the users.

    Responsibilities

    Work with the speech, audio software engineering team to deliver a great speech user experience.

    Have an "On it" attitude and willingness to work hands-on in building tools, testing, data collection, running experiments and work with state-of-the-art speech and audio processing algorithms.

    You should thrive in a fast paced environment with constantly evolving priorities, and collaborate well with other engineering teams at this company.

    What you need

    2+ years experience applying deep learning technologies to computer vision, speech recognition, natural language understanding, etc.
    Proficiency in programming languages including but not limited to Python/C/C++
    Extensive experience with machine learning frameworks like Tensorflow, PyTorch
    Strong understanding of embedded systems and server-side engineering optimization
    Outstanding written and verbal communication, with the ability to work well in multi-functional teams
    Experience on speech recognition, and TinyML is preferred

    #J-18808-Ljbffr
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