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ML Software Engineer

Washington, WA, US • Posted 21 hours ago • Updated 8 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Generative Artificial Intelligence (AI)
Cloud Computing
Research
Computer Hardware
IP
Intellectual Property
SaaS
SAFE
Swift
C
C++
Python
OS X
Xcode
Performance Metrics
MPS
Machine Learning (ML)
PyTorch
Integrated Circuit
IOS Development
FOCUS
Communication
Collaboration

Summary

Our team builds ML-inference applications and services on Apple Silicon in the datacenter, specifically focusing in recent years on generative AI as part of the Private Cloud Compute component of Apple Intelligence.

As part of the team you will help engineer continuous improvements in stability and performance for private cloud compute, as well as help implement entirely new functionality as it emerges from the research community, in collaboration with product teams throughout Apple. We write performant and scalable frameworks (in Swift and C++) to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different SoCs. We're a collection of highly skilled and friendly engineers who value each other's opinions and experience. We strive for excellence and believe strongly in the quality of our output. We have formed a team of domain experts who specializes in specific core subject areas, and also have broad experience of cloud software services and platforms. You will integrate inference code into a full service stack to ensure that user traffic is served reliably and performantly, and will have a strong focus on developing code that is easy and safe to develop, update and monitor.

Experience working as a software engineer on large production systems\nExperience programming in: Swift, C, C++, Python, iOS/macOS or XCode\nPractical experience running machine learning models and evaluating them for quality and performance metrics

Familiarity with Apple ML stack (ANE, CoreML, MPS/Metal), high-level general distributed ML stack (PyTorch-distributed, NCCL) and high throughput inter-chip communication systems.\nOn-device iOS development\nQuality focus - produce reliable, maintainable, deliverable software - Comfortable diving deep - working across multiple levels of abstraction - Good at handling relationships & communication - collaborate well with colleagues across a wide range of functions

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90733111
Position Id: 339a9e1c09d0e4ae2be4da0197858ec8
Posted 21 hours ago

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