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# Staff Machine Learning Engineer

- **Company:** ARM
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $249,900.0 - $338,100.0
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Computing Platforms, ARM Architecture, Artificial Neural Networks, Computer Engineering, Python (Programming Language), Machine Learning, Tensorflow, Software Systems, Pytorch, Deep Learning, Information Technology, Optimization Algorithms, Programming Languages
- **Published:** August 11, 2026
- **Apply:** https://www.jofdav.com/jobs/59177607-staff-machine-learning-engineer

## About the Role

* 3+ years working in a ML Algorithm Development and/or Optimization environment
 * A Master or PhD degree in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields
 * Proficient in computer architecture, basic knowledge of HW and SW design
 * Developing and working with large software systems in programming languages like Python
 * Knowledge of innovative deep learning libraries such as Tensorflow and Pytorch
 * Training large deep learning models on powerful GPU-based systems

"Nice To Have" Skills and Experience :

 * ML Model Optimization techniques targeted for resource constrained ARM edge compute platforms.

## Description

The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to balance among all these constrains?

As a member of the CTML Content and Algorithm team, the candidate will play a key role within the Center of Excellence for Machine Learning. They will actively supply to this joint development initiative, conducting in-depth analyses of complex neural networks on ARM's computing platforms and devising algorithms that will elevate us to the forefront of future.

Responsibilities:

Develop in depth understanding of current and future ML workload on ARM compute platforms with a focus on their PPA (performance, power, and area).

 * Architecture exploration necessitates the joint development of hardware, software, and algorithms. This role serves as the ML Algorithm experts within the exploration process. This includes algorithm innovation and prototyping to drive and validate architectural features.
 * Develop hardware aware optimization algorithm that can make state-of-the art networks on Arm platforms including CPU/GPU/NPUs.


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