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Machine Learning Systems Engineer

3 months ago

Southampton, Southampton, United Kingdom Gaia Labs Full time

Summary

Weekly Hours: 35 As part of Apple Cloud Platform, our team is responsible for building libraries and services which form the foundations of critical systems at Apple. Specifically, as a ML Systems Engineer, you will focus on building software stack to run large machine learning models (generative AI, LLMs) over multiple high-performance Apple Silicon SoCs. Key Qualifications
  • Practical experience running and evaluating machine learning models for quality and performance metrics
  • Experience in system-level code optimization and power/performance evaluation for ML acceleration hardware
  • Large-scale server-side development experience
  • Experience programming in Swift, C, C++, iOS/macOS, XCode
  • Bonus qualification: familiar with Apple ML stack and high-level general distributed ML stack, and high throughput inter-chip communication systems.
Description We write software in Swift and C++ to build services and infrastructure around innovative generative AI and machine learning. We build frameworks to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different SoCs; we deploy and load models, and support high-level machine learning platforms. Our software has a growing user base and the team is looking to expand to build amazing products making it an exciting place to work. We're a collection of highly skilled 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 specialize in core subject areas and 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 efficiently, with a strong focus on developing code that is easy and safe to develop, update, and monitor. Education & Experience B.S. in Computer Science or other numerate subject, with 6+ years of experience; or M.S. in Computer Science or other numerate subject, with 4+ years of experience Additional Requirements
  • Quality 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.