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    AIML - Machine Learning Engineer, Siri Automatic Speech Recognition Accuracy Iteration - Cambridge, Cambridgeshire, United Kingdom - Apple Inc.

    Apple Inc.
    Apple Inc. Cambridge, Cambridgeshire, United Kingdom

    9 hours ago

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    Description

    AIML - Machine Learning Engineer, Siri Automatic Speech Recognition Accuracy Iteration

    We are looking for engineers passionate about using machine learning to build and maintain multiple machine learning products that power Siri. In this highly accomplished, deeply technical, and close-knit team of machine learning specialists, software engineers, and infrastructure experts, you will build products that are used by millions of people. You will have the opportunity to contribute to exciting projects around Apple and use your data science, machine learning, and analytical skills to tackle challenging technical problems and ship novel products that will delight our customers

    Key Qualifications

    • 3+ years of experience in machine learning, natural language processing,
    • Mastery of two of following languages: Python, Go, Java, C++
    • Excellent knowledge and good practical skills in major machine learning algorithms
    • Strong data analytical skills
    • An extraordinary teammate with strong interpersonal skills
    Description

    You will be a part of a team that's responsible for a wide variety of speech-related development activities, including acoustic modeling, language modeling, model evaluations, text formatting and tools development. Our speech recognition research is typically data driven, and we are particularly excited about unsupervised and supervised techniques to leverage large quantities of data. You should be enthusiastic about building phenomenal products. Because you'll be working closely with researchers and engineers from a number of other teams at Apple, you're a standout colleague who thrives in a collaborative environment.

    Education & Experience

    Bachelors, Masters or Ph.D in Computer Science or Engineering or a related field, or equivalent experience

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