IntelPosted today

AI framework engineer

AI framework engineer at Intel scores 96 out of 100 on AI centrality, which makes it a Level 4 role on this board.

PRC, ShanghaiFull time

AI in this role

pytorchtensorflow

fine-tuningcomputer-vision

Job Details:

Job Description:

The Role and Impact Are you eager to make an impact in the rapidly evolving field of artificial intelligence? As an AI Software Engineering Graduate Intern, you will contribute to the development and optimization of cutting-edge AI software solutions across domains such as computer vision, machine learning, and deep learning. You'll assist in creating scalable and efficient AI systems, tuning models for enhanced performance and accuracy, and exploring applied research opportunities to advance Intel's AI technologies. This internship provides hands-on experience to build your skills and knowledge while contributing meaningfully to Intel's business goals. Business group This role is part of Intel's Sales and Marketing Group (SMG), which drives customer connections and solutions to accelerate Intel's success in key markets. SMG focuses on understanding and addressing customer challenges while delivering advanced technologies that enable innovation. The team fosters collaboration, growth, and innovation, aligning with Intel's mission of shaping the future of technology. Key Responsibilities - Design, develop, and optimize AI software solutions, including algorithms, frameworks, and architectures. - Assist in implementing and tuning deep learning models to improve performance and accuracy. - Explore techniques such as model compression, including quantization and pruning, to enhance system efficiency. - Collaborate with internal product teams and external partners to create robust AI solutions for system-level deployment. - Conduct applied research to refine AI methodologies and integrate them with hardware solutions. - Document technical findings and contribute to knowledge-sharing initiatives within Intel.

Qualifications:

Minimum Qualifications - Bachelor's degree in Computer Science, Software Engineering, or related field. - Proficiency in Python or C++ for AI software development and debugging. - Solid understanding of deep learning fundamentals, including large language models (LLMs). - Familiarity with model compression techniques such as quantization and pruning. - Knowledge of AI frameworks like TensorFlow or PyTorch. Preferred Qualifications - Strong problem-solving skills and self-motivation to tackle technical challenges. - Passion for technological innovation and practical engineering applications. - Experience with fine-tuning AI models, inference optimization, or agent development.

Job Type:

Student / Intern

Shift:

Shift 1 (China)

Primary Location:

PRC, Shanghai

Additional Locations:

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.

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Fine TuningComputer VisionPyTorchTensorFlow

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
What are the limits of PyTorch that you've run into, and how did you work around them?
What's a project where you used TensorFlow hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: Fine Tuning, Computer Vision, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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