Decision Intelligence Product Manager Platform Optimization jobs at Apple in United States, Seattle
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Job title (1)
United States
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Seattle
131 jobs found
08.06.2025
A
Apple AIML - ML Engineer Machine Learning Platform & Infra United States, Washington, Seattle
Demonstrated experience in leading and driving complex, ambiguous projects. Experience with high throughput services particularly at supercomputing scale. Proficient in running applications on Cloud (AWS, Azure, or equivalent) using Kubernetes...
Bachelors degree in Mechanical Engineering or similar major. 6+ years of hands-on, detailed product design experience. Experience in ergonomics, biomechanics, or human factors. Experience working in and/or leading technical project...
Approximately 7 years of validated experience working with channel and/or enterprise sales organizations. Deep understanding of enterprise and channel sales, program design and execution, category. management, routes to market, channel...
BS degree. Experience working with C++ and/or SystemC modeling or simulation tools. Domain knowledge in at least one hardware IP: ML HW accelerators or processing units such as GPU, image/video,...
Have an exposure to Decision Analysis (Applied Decision Theory) through coursework and work experience. Have an intuitive understanding of optimization methods and ML distinctions (classification models and how they are...
Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience. Excellent written and verbal communications skills, and have the ability to work hands-on in...
3+ years experience in data processing ecosystems. Coding experience in Java/Scala/Go, preferably with critical, large-scale distributed systems. Experience in designing and developing stateless APIs using HTTP and similar protocols to...
Demonstrated experience in leading and driving complex, ambiguous projects. Experience with high throughput services particularly at supercomputing scale. Proficient in running applications on Cloud (AWS, Azure, or equivalent) using Kubernetes...
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