AI Software Engineer Intern
Intel is hiring an AI Software Engineer Intern in Shanghai, China. Level rates it ; you can apply on Intel.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include PyTorch, TensorFlow and fine tuning.
- Level classifies it as an internship.
- Level lists 793 other open roles at Intel.
- The role was posted in the last few days.
AI in this role
Job Description:
The Role and Impact As an AI Software Engineering Graduate Intern, you'll play a pivotal role in designing, developing, and optimizing AI software solutions across domains such as computer vision, machine learning, and deep learning. You'll contribute to implementing and fine-tuning models for enhanced performance and accuracy, while also exploring techniques like model compression to improve efficiency. This internship provides an excellent opportunity to build technical skills and knowledge through hands-on projects, directly supporting Intel's AI goals in a collaborative environment. Business group This position is part of Intel's Sales and Marketing Group (SMG), which focuses on connecting customers with innovative solutions that drive Intel's success in global markets. SMG is committed to addressing customer challenges, fostering collaboration, and delivering technologies that shape the future of AI and computing. The team offers an engaging and growth-oriented environment aligned with Intel's broader mission to advance cutting-edge technologies. Key Responsibilities - Design, develop, and optimize AI software solutions, including algorithms, frameworks, and architectures. - Assist in implementing and fine-tuning deep learning models for improved accuracy and performance. - Explore model compression techniques such as quantization and pruning to enhance system efficiency. - Collaborate with internal teams and external partners to develop scalable AI solutions for system-level deployment. - Conduct applied research to refine AI methodologies and support hardware-software integration. - Document technical findings and contribute to knowledge-sharing initiatives within Intel.Qualifications:
Minimum Qualifications - Bachelor's degree in Computer Science, Software Engineering, or a related field, with 0-1 years of hands-on experience in the domain, including demonstrated skills gained through internships, academic projects, coursework, or hands-on training, OR a Master's degree in a relevant field with no prior professional experience. - 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 exploration, innovation, and practical engineering applications. - Experience in fine-tuning AI models, inference optimization, or agent development is a plus. Join Intel and contribute to shaping the future of AI technologies. Your skills and creativity can help drive innovation and impact the world. Apply today to embark on this exciting journey.
Job Type:
Student / InternShift:
Shift 1 (China)Primary Location:
PRC, ShanghaiAdditional Locations:
PRC, Beijing, PRC, ShenzhenPosting 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/AWork 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.How we rate this
AI Software Engineer Intern at Intel rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
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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