Aiml - Sr Engineering Program Manager Ml Compute Infrastructure jobs at Apple in United States, Cupertino
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United States
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Cupertino
901 jobs found
11.09.2024
A
Apple AIML - Sr Engineering Program Manager ML Compute Infrastruct... United States, California, Cupertino
5+ years of Product and/or technical program management experience covering some or as many of the following areas as possible: distributed computing, large scale cloud infrastructure, GPU/TPU usage for ML...
Demonstrated expertise in large-scale data processing, with a strong background of working with Spark and Python or Scala. Understanding of distributed computing principles, data engineering and DevOps standard processes. Proven...
Proven track record of delivering complex engineering programs, taking features through the complete software development life cycle. Demonstrate technical competency and experience collaborating “hands-on” with highly technical teams. Experience in...
Holds a B.S./M.S. degree in Electrical Engineering, Bioengineering, Data Science, or a related discipline. Possess over 5 years of experience in taking products from concept to large-scale production. Skilled in...
15+ years of overall industry experience with 10+ years building & leading high-performing research & engineering teams with a focus on on cloud computing. Deep experiences working across one or...
Knows fundamentals of object-oriented software design and programming. Experience with large-scale ML data and model pipelines. Excellent communication and cross-functional collaboration skills. Inquisitive in pursuit of excellence, able to demonstrate...
Knows fundamentals of object-oriented software design and programming. Experience with large-scale ML data and model pipelines. Excellent communication and cross-functional collaboration skills. Inquisitive in pursuit of excellence, able to demonstrate...
5+ years of Product and/or technical program management experience covering some or as many of the following areas as possible: distributed computing, large scale cloud infrastructure, GPU/TPU usage for ML...
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