Machine Learning Ecosystem Architect

5 days ago

Cambridge, Cambridgeshire, United Kingdom ARM Full time
Job Overview

Arm is seeking a talented Machine Learning Ecosystem Engineer to join our team in Western Europe. As a key member of our ML group, you will play a crucial role in showcasing the AI capabilities of next-generation mobile devices to developers worldwide.

Responsibilities
  • Collaborate with cross-functional teams to develop and maintain machine learning frameworks and tools.
  • Work closely with engineers from prospective Arm customers and members of the Arm ecosystem to understand their needs and provide solutions.
  • Design and implement efficient machine learning workloads on Arm processors, ensuring optimal performance and power consumption.
  • Develop and maintain open-source code repositories and technical blogs to showcase Arm's ML capabilities.
Requirements
  • Strong programming skills in C++ and OOP.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Excellent communication and interpersonal skills to work effectively with diverse teams and stakeholders.
  • Desire to contribute to the development of innovative ML solutions and have a positive impact on the Arm ecosystem.
Nice to Have
  • Programming experience with mobile GPUs, such as shaders and Vulkan.
  • Development experience with Kotlin or Java.
  • Android application development using Android Studio.
What We Offer

As a Machine Learning Ecosystem Engineer at Arm, you will have the opportunity to influence the next wave of developers on how to deploy ML workloads on Arm processors. You will work with a wide range of engineers, from prospective Arm customers to members of the Arm ecosystem, and have the chance to publish your work widely.

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