ARM Sweden AB
Graduate Machine Learning Engineer - Central Technology
Lund's ARM Sweden AB seeks a Graduate Machine Learning Engineer, with applications closing on 27 November 2026. This role is part of the Central Technology team focused on AI computing. The position offers a starting sal...
- Posted
- Updated
- Vacancies
- 1
- Source
- Arbetsförmedlingen (Sweden)
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- Last date
- 27 Nov 2026
- 22 days left
- Vacancies
- 1
- Location
- Sweden
Overview
Lund's ARM Sweden AB seeks a Graduate Machine Learning Engineer, with applications closing on 27 November 2026. This role is part of the Central Technology team focused on AI computing. The position offers a starting salary of SEK 555,000 for Master's level candidates.
About this role
As a Graduate Machine Learning Engineer, you will work within the Central Technology Machine Learning team, which is dedicated to advancing AI computing on Arm architecture. Your responsibilities will include developing a deep understanding of ML/AI workloads and optimizing algorithms to enhance performance on Arm platforms.
You will engage in collaborative projects that involve hardware and software integration, while also exploring the latest technology trends in ML/AI. This role provides an opportunity to contribute to the development of internal tools and support algorithmic exploration, making a significant impact on the future of AI technology.
About this job
ARM Sweden AB has opened applications for Graduate Machine Learning Engineer - Central Technology. In all, 1 seat are on offer. It is an international-organisation position.
Job summary
- Organization
- ARM Sweden AB
- Sector
- International
- Location
- Sweden
- Country
- Sweden
- Vacancies
- 1
- How to apply
- Online
- Last date
- 27 November 2026
About the advertisement
- Advertisement date:
- 3 Nov 2026
- Reference:
- Annons ID och titel
- Total vacancies:
- 1
Eligibility for Graduate Machine Learning Engineer - Central Technology at ARM
- Relocation support available for domestic and regional moves.
- Visa sponsorship support available for candidates requiring it.
Requirements
- Hold or be on track for a Master’s or PhD in a related field.
- Experience in software systems with programming languages like Python.
- Familiarity with training and deploying ML/AI models using libraries like Pytorch or Tensorflow.
- Strong technical communication skills.
Responsibilities
- Develop understanding of ML/AI workloads on Arm platforms.
- Analyze technology trends in ML/AI to guide workload support.
- Create optimization algorithms for AI models on Arm platforms.
- Support internal tooling for algorithmic exploration.
Important dates
-
Advertisement published
(passed)
-
Last date to apply
Before you apply
- Apply before 27 November 2026.
- Apply only through the official link on this page. CareersOz never charges a fee for applying.
How to apply for Graduate Machine Learning Engineer - Central Technology at ARM
- Mode:
- Online
- Last date:
- 27 Nov 2026
- Visit the official application link.
- Submit your application before the deadline.
- Include your academic transcript with your application.
Official application link: https://careers.arm.com/emerging-talent
Last date to apply: 27 November 2026
Important information
- Early applications are encouraged as they are reviewed on a first-come, first-served basis.
Opens the official application page (careers.arm.com). CareersOz never asks for a fee.
Benefits
- Starting salary of SEK 555,000 for Master's level.
- Opportunities for salary progression with mid-year and year-end reviews.
- Access to workshops, guest speaker series, and social events.
- Invitation to the Global Graduate Conference.
اردو میں تفصیلات
- ادارہ
- ARM Sweden AB
- آسامیوں کی تعداد
- 1
- مقام
- Lund
- درخواست کا طریقہ
- آن لائن
- اشتہار کی تاریخ
- 3 نومبر 2026
- آخری تاریخ
- 27 نومبر 2026
The Urdu summary is prepared by CareersOz from the advertisement. If anything differs, the official advertisement is correct.
After you apply
- Keep a copy of your application and any courier or tracking receipt until the recruitment is finished.
- Watch the employer's website and your phone. Test and interview calls are usually sent by SMS, call letter or a published list of candidates.
- Apply before 27 November 2026. Applications sent after the last date are not accepted, and online forms often slow down on the final day.
- This page is updated when the last date or a test date changes. Save the job or set a reminder so you do not miss a change.
- Nobody can guarantee selection. Genuine employers do not ask for money beyond the official application fee; report anyone who asks you to pay for a job.
Questions about Graduate Machine Learning Engineer - Central Technology at ARM
What is the last date to apply for Graduate Machine Learning Engineer? +
The last date to apply is 27 November 2026.
Who can apply for Graduate Machine Learning Engineer? +
Candidates holding or on track to hold a Master’s or PhD in a related field can apply.
How do I apply for Graduate Machine Learning Engineer? +
Visit the official application link and submit your application before the deadline.
What is the last date to apply for ARM Sweden AB jobs? +
The last date to apply is 27 November 2026.
How many vacancies have been announced? +
ARM Sweden AB has announced 1 vacancy.
Where are these jobs located? +
The posts are in Lund.
How can I apply? +
Apply through the official link: https://careers.arm.com/emerging-talent before 27 November 2026.
Source and verification
- Official website
- careers.arm.com
- Advertisement
- Original advertisement unavailable. Check the official website.
- Application
- Official portal · careers.arm.com
- Found via
- Arbetsförmedlingen (Sweden)
- Published on CareersOz
- 3 Nov 2026
- Last updated
- 4 Nov 2026
Corrections
- 4 Nov 2026: summary, responsibilities, requirements, eligibility, how to apply, benefits updated.
How we check listings: sources, fact-checking and corrections.
Official source: careers.arm.com
Source: Arbetsförmedlingen (Sweden). This information has been independently formatted by CareersOz. View original source
CareersOz is not affiliated with this organisation. Always confirm details on the official website before applying.
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