Intern Machine Learning

Overview

The mission of Central Technology – Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm development, and tools, driving this unified effort forward.

What you could be doing as a Machine Learning Intern?

Develop in depth understanding of ML workload, and develop algorithms and optimization techniques to drive PPA (Performance, Power, Area) on current and future Arm platforms.
• Conduct ML workload analysis and serve as the ML Workload experts to support all phases of ARM IP development
• Devise algorithm and prototyping on current platforms and to support future architecture exploration.
• Develop internal tooling capabilities to support algorithmic and architecture exploration
Examples:
• Develop domain expertise in ML models and hardware-aware optimization techniques to support architecture development.
• Conduct ‘Proof of Concept’ exploration to prototype algorithms and optimized models in support of architecture development.
• Develop and prototype algorithms to automate deployment of HW-aware optimized network optimization processes on ARM processors.
We are looking for:
• Graduate students in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields
• Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques
• Overall high-level knowledge of computer architecture, systems, and HW-SW co-design
• Ability to develop and work with large software systems in programming languages like Python
• Knowledge of innovative deep learning libraries such as Tensorflow, and Pytorch
• Willing to learn and train large deep learning models on GPU-based systems
Qualities that will help your application stand out:
• Experience with ML model design, optimization, and HW-SW co-development methodology
• ML Model Optimization techniques targeting PPA (Performance, Power, and Area) of neural networks on ARM compute platforms
• Adaptability to the fast paced ML industry and willingness to learn new technology in a multifaceted environment

Additional Information

We encourage early applications as we review them on a first come/first served basis.

Arm Internships require you to be enrolled in a higher education degree and be returning to your course after your internship/placement.

If you are graduating on or before August 2025 you will not be eligible for an Intern role, but you will be eligible for our graduate roles. Our graduate roles will be advertised on the Arm Early Careers website Graduate Jobs at Arm.
In Return:

Working on new projects with leaders in the field is exciting, but we also know how meaningful it is to receive support. That’s why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be considered for future Graduate positions (subject to performance). #getreadytogrow

In addition to a competitive salary and rewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.
#LI-KF1

Accommodations at Arm

At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email . To note, 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. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
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. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Company:

ARM

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, Neural Networks, NLP, United States