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?Are currently enrolled and studying towards an Electrical or Computer Engineering Degree (Masters or PhD students welcome). Candidates with alternative degrees will also be considered if they have relevant experience.
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 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 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 andrewards 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 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.Job DescriptionOur fashion client is seeking a Copywriter! This role is primarily remote, part-time, with the possibility to scale up hours. You will ideally be in either Los Angeles or New York to be able to come into the office to look at the product. The primary project...
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