Intel
AI Frameworks Intern
International internshipsAI/ML/DataPosted 17 days ago
- Location
- Gdańsk, Poland
- Type
- International internships
Apply nowOpens Intel’s application page
Intel
From Intel’s careers page.
Join Intel's PyTorch enablement team as an intern and help bring Intel datacenter and integrated GPU acceleration to one of the world's most widely used deep learning frameworks.
You will work alongside experienced engineers on PyTorch and PyTorch ecosystem open-source projects such as torch-xpu-ops, gaining real hands-on experience in deep learning and machine learning framework internals, GPU compute software stacks, and platform engineering - with your code shipping in a project used by millions of developers worldwide.
Your responsibilities will include:
Preferred Qualifications
We invite you to explore this opportunity to grow your skills, collaborate with innovative teams, and contribute to impactful projects in a supportive and dynamic environment. Apply now to begin your journey with Intel.
Student / Intern
Shift 1 (Poland)
Poland, Gdansk
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
N/A
We offer a total compensation package that ranks among the best in the industry.
The minimum Annual Salary for this job which could be performed in Poland is: 68 880,00 zł

The job posting reflects the minimum base compensation for this role. Our standard internship rates are aligned with the specific job role and degree level. As part of our total compensation approach, the final offer may also include additional pay components and benefits. Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
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