Internship
Foundational AI Research Intern
Intel Corporation
•
12d ago
🚀 Off-cycle Internship
💻 Remote
AI generated summary
- You must be pursuing a Master's or PhD in relevant fields with 1+ years' experience in developing novel machine learning solutions, using frameworks like PyTorch or TensorFlow, and executing projects from start to finish.
- You will develop algorithms for chip design, computational chemistry, and computer vision in chip manufacturing.
Description
- Join a world-class AI research team at Intel Labs. At Intel Labs we place a high value on innovation - with a focus on peer reviewed publications, open-source software, and patents.
Requirements
- The candidate should be self-driven and should be motivated to explore and expand the boundaries of the research problem. The candidate will create proofs of concepts, and prototype new ideas with the final objective of building disruptive applications and publishing groundbreaking ideas.
- You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.
- Minimum Qualifications:
- The candidate must be pursuing a Master degree or PhD degree in Electrical Engineering, Computer Engineering, Electrical Computer Engineering, Computer Science or in related field.
- 1+ years' experience in developing novel machine learning solutions for applications like chip design and manufacturing, computational Chemistry, Physical Dynamics, video enhancement, Physics-Inspired Deep Learning, etc.
- 1+ years' experience in ML framework like PyTorch (preferred) or TensorFlow to train ML models.
- Preferred Qualifications:
- Experience using ML acceleration tools like DeepSpeed.
- Experience training large scale ML models in distributed, model-parallel, or data-parallel settings.
- Demonstrable ability to execute projects end to end - e.g., via projects on GitHub, Kaggle ranks, etc.
- Graduate level training and understanding of classical methods in specific domains like chip design, Chemistry, Physics, Video processing, etc.
Education requirements
Currently Studying
Masters
PhD
Area of Responsibilities
Engineering
Software Engineering
Responsibilities
- You will work to develop novel algorithms and applications for emerging areas like chip design, computational chemistry, and computer vision solutions for chip manufacturing processes.
Details
Work type
Full time
Work mode
remote