Principal Machine Learning Engineer

Job Overview

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 constraints?

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 contribute 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.

Required Skills and Experience

• 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 state of the art 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.

In Return

With a history that spans more than 30 years of innovation and discovery, Arm has become a global computing platform. You will have meaningfully contributed to pushing the thresholds of ML performance across the industry.

Accommodations

Arm's accommodations policy: When you need support or an accommodation during the recruitment process, please email us. By sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Examples of support include breaks between interviews, having documents read aloud, or office accessibility.

Equal Opportunity Employer

Arm is an equal opportunity employer, committed to providing an environment of mutual respect, where equal opportunities are available to all applicants and colleagues. Arm prohibits discrimination or harassment of any kind based on race/ethnicity, religion, national origin, age, sex, sexual orientation, gender, gender identity and expression, disability, neuro diversity, pregnancy, medical condition, marital status, citizenship status, military/veteran status, as well as those characteristics protected by applicable laws, regulations and ordinances.

Hybrid Working at Arm

Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs.

Company

ARM

Experience Level

Senior (5+ years of experience)

Tags

Industry, Machine Learning, Neural Networks, NLP, United Kingdom