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Apple AI/ML - Data Engineer (Speech Recognition), Siri and Language Technologies in Cambridge, Massachusetts

AI/ML - Data Engineer (Speech Recognition), Siri and Language Technologies

Cambridge,Massachusetts,United States

Machine Learning and AI

  • 2-5+ years of experience in data engineering.

  • Expertise with ETL theory, process and technology.

  • Experience engineering metrics and statistical information out of massive and complex datasets (e.g. Hive/Iceberg, Spark, Trino, Druid, Solr, Flink, Kafka).

  • Proficiency in at least one programming language (preferably Python) and with developing code within a team environment (e.g. git, testing, code reviews).

  • Experience building robust data and analytic pipelines with a keen eye for where to automate (e.g. Oozie, Airflow).

  • Solid understanding of both relational and NoSQL database technologies.

  • Experience with visualization, data mining, or statistical tools.


The ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong eye for business, and a highly developed drive to deliver results. You will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment. Responsibilities will include: - Building high-quality data pipelines and speech data tooling, implementing and operating with high reliability and availability. - Developing relationships with speech scientists and engineers, product managers and software engineers to understand data needs - Harden and launch new data models and data pipelines in production - Lead development of data tools to support analysis and data resources to support new product launches - Coordinate monitoring/analysis tools - Establish SLA’s for all data sets and processes running in production - Excellent writing and interpersonal skills - Thorough knowledge of macOS and iOS is helpful - Ability to stay focused and prioritize a heavy workload while achieving outstanding quality - You are upbeat, adaptable, and results-oriented with a positive attitude

Education & Experience

B.S., M.S., or PhD in Computer Science, Computer Engineering, or equivalent

Additional Requirements

  • Meeting any of the additional requirements is considered a plus:

    • Hands-on experience with ASR or NLP toolkits.
    • Hands-on experience with deep learning toolkits such as TensorFlow, PyTorch, etc.
    • Hands-on experience building and deploying production AI/ML systems.

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