Job Details:

Job Description: 

The Role and Impact
Are you passionate about leveraging artificial intelligence to solve complex challenges and drive innovation? As an AI Software Engineering Intern, you will play a crucial role in designing, developing, and optimizing AI software solutions across domains such as computer vision, machine learning, and deep learning. Working alongside a team of experts, you will contribute to creating scalable, efficient AI systems, implement and tune models for enhanced performance and accuracy, and explore applied research to support Intel's cutting-edge technologies. This internship offers an exciting opportunity to build your skills, gain hands-on experience, and make a meaningful impact on Intel's business goals in a collaborative environment.

Key Responsibilities
- Design, develop, and optimize AI software solutions, including algorithms, frameworks, and architectures.
- Assist in tuning and implementing deep learning models for enhanced accuracy and performance.
- Explore model compression techniques, such as quantization and pruning, to improve system efficiency.
- Collaborate with internal teams and external partners to create innovative AI solutions tailored for system-level deployment.
- Conduct applied research to advance AI methodologies and their integration with hardware solutions.
- Experiment with and refine AI models to meet project-specific objectives and industry standards.
- Document findings, progress, and technical insights to contribute to Intel's knowledge-sharing initiatives.

Qualifications:

Minimum Qualifications
- Solid understanding of deep learning fundamentals and large language model applications.
- Familiarity with model compression techniques, including quantization and pruning.
- Proficiency in Python or other programming languages commonly utilized in deep learning development.

Preferred Qualifications
- Strong self-motivation and problem-solving skills, with a passion for continuous learning and innovation.
- Interest in technological exploration and practical engineering applications.
- Experience with model fine-tuning, inference optimization, or agent development is a plus.

Join us in shaping the future of AI and advancing Intel's mission to empower a smarter, connected world. Apply today and take your first step toward a transformational career.

          

Job Type:

Student / Intern

Shift:

Shift 1 (China)

Primary Location: 

PRC, Shanghai

Additional Locations:

Business group:

The Sales and Marketing Group (SMG) leverages the product portfolio to drive Intel's revenue growth and market expansion, blending strategic initiatives with dynamic sales efforts to capture and retain customers. SMG is responsible for empowering the sales force with tools and insights needed to close deals and build lasting customer relationships. Sales analytics and market research ensure strategies are both targeted and impactful. In SMG, disciplined execution, creativity, and ambition are celebrated, providing ample opportunities for career advancement and skill development.

Posting Statement:

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.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.