Hybrid agents, Privacy, Data construction
The technologies developed during the internship may be deployed on commercial mobile and edge devices powered by Qualcomm platforms. Research outcomes are expected to contribute to state-of-the-art AI technologies and may lead to publications in top-tier AI conference.
Minimum Qualifications
Currently pursuing a Ph.D. or Master's degree in Electrical Engineering, Computer Science, Artificial Intelligence, or a related field.
Strong knowledge of machine learning and deep learning
Research experience in LLM, LVM, Foundation models, transformers, and/or personalization techniques
Experience implementing ML algorithms using Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Strong research and problem-solving skills demonstrated through publications or research projects.
Publication: two first-author papers in a top-tier (NeurIPS, CVPR, ICML, ICCV, ICLR, ECCV, ACL, NAACL) or highly competitive international conferences (e.g., AAAI, CoRL, WACV, BMVC). At least, one sole 1st-author paper in the top-tier venues.
Preferred Qualification
Prolific record of high-impact publication in top-tier AI conferences including CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, ACL (main), and EMNLP (main), NAACL (main) or a proven track record in industrial R&D.
Deep architectural understanding on LLMs and LVMs that goes beyond basic prompting and inference (e.g., structural optimization, custom layer design, or fundamental algorithmic improvements).
Experience with advanced machine learning techniques such as Reinforcement Learning (RL), Memory Network, Reasoning
Software development experience in mobile or embedded environments.
Proficiency in large-scale data processing and distributed analysis.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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If you would like more information about this role, please contact Qualcomm Careers.
