HomeData Science Jobs- USAPepsiCo | AI/ML - Sr. Software Engineer, On-Device Machine Learning | Seattle,...

PepsiCo | AI/ML – Sr. Software Engineer, On-Device Machine Learning | Seattle, WA | United States | BigDataKB.com | 13 Oct 2022

Job Location: Seattle, WA

Summary

Posted: Jul 11, 2022
Role Number:200269763
Help us build the next generation of Apple’s neural-network inference stack! Our team is responsible for the core framework that launches neural-network workloads on Apple devices. We build the bridge between the compute resources available on Apple hardware and an entire universe of ML models, trained by feature teams throughout Apple and by our developer community. Your work on our team will enable increasingly sophisticated models throughout our products, from the computer vision models that underlie every shot on the iPhone camera, to the language models consulted for on-device Siri dictation or for the iPhone keyboard, to every neural network deployed using the public CoreML framework. By developing the underlying representation of these workloads, and the mechanisms for mapping them to the CPU, GPU, and Apple Neural Engine, you will play a critical role in expanding what is possible in the Apple ecosystem.

Key Qualifications

  • Excellent C/C++ programming and debugging skills
  • Enthusiasm for API design and software architecture
  • Exceptional verbal and written communication skills
  • Experience with modern neural-network architectures and deep learning libraries (preferred)
  • Expertise with performance optimization (preferred)

Description

– Design and implement improvements to Apple’s Model Intermediate Language (MIL), the intermediate representation of neural-network workloads shared across the inference stack – Develop the mechanisms for analyzing and transforming MIL workloads – Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution on device – Collaborate with CPU/GPU/ANE hardware backends to push inference performance and efficiency – Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models

Education & Experience

Bachelors Degree, Masters, or Ph.D. in Computer Science, Physics, Electrical Engineering, or other technical discipline is required. Solid software development industry experience (minimum 2+ years) is also required.

Additional Requirements




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