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Intel's OpenVINO team is seeking an AI & Deep Learning Intern to help develop the Neural Network Compression Framework (NNCF) and optimize deep learning models for real-world devices. You will explore ML techniques, contribute to compression algorithms, and work with PyTorch, TensorFlow, and OpenVINO while collaborating with senior engineers.
The role offers mentorship, exposure to state-of-the-art AI technologies, and a hybrid work model in Munich.
Job Details:
Join Intel's OpenVINO Team and Shape the Future of AI
Are you passionate about Artificial Intelligence, Deep Learning, and Software Engineering? Do you want to work on cutting-edge AI technologies that help neural networks run faster and more efficiently on real-world devices?
Join the Neural Network Compression Tools Team within Intel's OpenVINO organization and gain hands‑on experience developing technologies used to optimize state‑of‑the‑art AI models.
As an AI & Deep Learning Intern, you will contribute to the development of the Neural Network Compression Framework (NNCF), a key technology used to improve the performance and efficiency of deep learning models.
During your internship, you will:
Student / Intern
Shift 1 (Germany)
Germany, Munich
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 Germany is: 11 870,00 €
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.