Sr. Machine Learning Engineer, ASR Infrastructure and Tools, Siri Speech

The Siri Speech team is looking for exceptional individuals to extend the core technology that let Siri understand, learn, and remember. You will be part of a cross-functional team consisting of software engineers as well as data and machine learning engineers/scientists and having a large impact on the Siri product. This is a rare opportunity to apply distributed data engineering techniques at the intersection of various areas such as speech recognition, natural language processing, and dialogue management. In this role you will - Work with open source tools like PySpark, Jax, Ray and others - Optimize how to move multi-modal data from various sources into complex model training pipelines - Use open source models to extract signals from large volumes of speech data to drive modeling improvements Experience processing large, complex, unstructured data Knowledge of distributed data processing frameworks (Beam, Spark, Dask, Ray) Strong software engineering abilities, ideally Python Strong interpersonal skills to work well with engineering teams M.S. or Ph.D. degree in Computer Science, or other technical discipline Machine Learning experience a plus Experience with optimizing and running large batch or training jobs on HPC-like clusters using GPUs or TPUs Speech understanding or generation experience a plus Strong data engineering background in speech and/or language/text/dialogue processing field Excellent problem solving and critical thinking Ability to work in a fast-paced environment with rapidly changing priorities Passionate about building extraordinary products and experiences for our users

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