Company

Machine Learning And AiSee more

addressAddressCambridge, MA
CategoryInformation Technology

Job description

You will be a part of a team that's responsible for a wide variety of speech-related data activities, including working with acoustic modeling, language modeling and tools developments teams to build data infrastructure and tooling to support both experimentation and production model pipelines. Our speech recognition research is very data driven, and we are passionate about both supervised and unsupervised techniques to leverage vast quantities of data. You should be passionate 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 multifaceted environment with rapidly changing priorities.

Request

  • 3-5+ years of experience in ML engineering, particularly in ML operations, data, model pipeline development or tooling
  • Experience with large-scale data processing and distributed systems.
  • Experience engineering metrics and statistical information out of massive and complex datasets (e.g. Hive/Iceberg, Spark, Trino, Druid, Solr, Flink, Kafka).
  • Strong coding skills in Python, C/C++, or Java, building software, and applying software engineering best practices (e.g. git, testing, CI/CD, scheduling).
  • Knowledge of Machine Learning concepts and toolkits (TensorFlow, PyTorch).
  • Experience building and deploying production AIML systems.
Refer code: 9060394. Machine Learning And Ai - The previous day - 2024-04-17 07:27

Machine Learning And Ai

Cambridge, MA
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