Job Specifications
We're looking for a curious and motivated Intern AI/ML Engineer to join our team. You'll help design, build, and scale real-world applications powered by large language models (LLMs), working on systems that make engineers more productive and creative.
We believe that AI can change how engineering is done, and we're excited for you to help us make that happen!
We are the Productivity Engineering AI & Engineering Excellence team, and we focus on improving engineering productivity through automation and smart technology. We work across hardware and software projects, partnering with teams to embed AI into their workflows. Together, we look for ways to make engineering faster, easier, and more effective.
What you could be doing as an AI/ML Intern?
Build AI tools that help engineers solve problems, from interactive agents to workflow automation.
Turn prototypes into scalable AI applications that work across large teams and environments, by fine-tuning prompts, pipelines, and infrastructure to improve performance, speed, and cost efficiency.
Collaborate with senior engineers to write clean, well-tested software that's easy to maintain and improve, while developing your skills through mentorship and feedback.
Work closely with experts in hardware design, software development, and verification to understand real needs.
Explore new AI tools and techniques, bringing in fresh ideas for our engineering challenges. Share your work and help shape our growing knowledge base for AI at Arm.
We Are Looking For Individuals Who
Are currently enrolled and studying towards a Machine Learning, Computer Science, or Computer Engineering Degree (Bachelors or Masters students welcome). Candidates with alternative degrees will also be considered if they have relevant experience.
Strong programming skills in Python.
Experience machine learning fundamentals, especially in natural language processing or LLMs.
Qualities That Will Help Your Application Stand Out
Exposure to hardware design or verification workflows (RTL, simulation, formal verification).
Familiarity with retrieval-augmented generation (RAG), vector search, or multi-agent systems.
Contributions to open-source AI/ML projects or research publications.
Awareness of responsible AI practices and evaluation methods.
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 before September 2026, 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 Emerging Talent website.
In Return
Working on interesting new projects with leaders in the field is exciting, but we also know how important 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.
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.
This is a non-exempt hourly role which will be paid at an hourly rate based on the number of hours worked. Pay rates vary by location and educational level.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment 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 c
About the Company
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm.
Arm is everywhere technology matters. Technology matters everywhere.
Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond.
Changing the world. Again. On Arm.
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