Company

Machine Learning And AiSee more

addressAddressSeattle, WA
CategoryInformation Technology

Job description

Join Apple's Data Platform team as an Engineering Manager to deliver the best experiences across Siri, Spotlight, and Safari. You will be responsible for defining and driving the roadmap for multi-GPU acceleration for ML training for our data platform, offering the best infrastructure across our stack at Apple scale. You will collaborate with cross-functional teams of innovative software engineers, product managers, and Engineering Managers to continually improve our efficiency and training performance. We embrace the use of open-source technologies, including Kubernetes and Spark, Flink, Trino, and Iceberg, for data processing. RESPONSIBILITIES INCLUDE: - Define and drive technical vision, roadmap, and strategy for our platform - Guide the design and development of new AI and ML acceleration frameworks and tools - Participate in product design reviews to ensure efficient and secure use of ML infrastructure - Collaborate with stakeholders and cross-functional leaders in engineering, product, and operations across Apple to ensure the correct adoption of our data and ML platform - Lead and mentor new hires or junior engineers - Provide guidance and establish processes to ensure engineering excellence, efficiency, and operational sustainability of our platform - Foster a healthy, inclusive, collaborative, and technology-driven culture

Request

  • 8+ years of software development experience
  • 3+ years leading ML infrastructure engineering teams
  • Experience with commercial and/or open-source large-scale data processing, ML training and inference, storage frameworks, and platforms such as Apache Spark, Apache Flink, Ray, etc
  • Experience optimizing frameworks and infrastructure for large-scale ML training on GPU-accelerated hardware
  • Experience with frameworks such as Deepspeed, Horovod, Hugging Face Accelerate, PyTorch Lightening
  • Experience in managing and optimizing ML platforms and infrastructure
  • Strong organizational skills and experience working on large multi-functional teams
  • Experience in influencing and driving key product innovations and opportunities across diverse collaborators
  • Passionate about operational excellence through proper automation and engineering processes
  • Strong distributed systems and engineering background
  • Superb problem-solving skills and ability to thrive in a fast-paced and dynamic environment.
Refer code: 9009201. Machine Learning And Ai - The previous day - 2024-04-13 17:10

Machine Learning And Ai

Seattle, WA
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