STMicroelectronics · 1 month ago
Deep Learning Researcher (Intern) - Model Optimization
STMicroelectronics is a global semiconductor company that drives innovation through advanced technologies and chips. The role involves research and development in model compression and Neural Architecture Search, focusing on techniques such as tensor decomposition and quantization.
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Responsibilities
Lead the development of a novel zero-cost proxy aimed at accurately predicting model behavior under ultra–low-bit quantization
Advance a hardware-aware model compression framework, integrating new techniques into scalable research tools
Conduct rigorous experimental studies, including ablation analyses and hardware benchmarking on diverse accelerators
Propose novel models using these optimization techniques
Prepare and disseminate research outcomes through peer-reviewed publications, technical reports, and conference presentations
Qualification
Required
Current Ph.D. or Master's student in Computer Science, Electrical and Computer Engineering, or a related field
Strong foundational knowledge of deep learning theory, including CNN architectures and optimization
Demonstrated proficiency in Python and experience with PyTorch for model development and experimentation
Solid understanding of the mathematical principles underlying deep learning, such as linear algebra, probability, and numerical optimization
Preferred
Prior exposure to model compression techniques (quantization, pruning, decomposition) is advantageous but not required
Company
STMicroelectronics
STMicroelectronics is a semiconductor company that designs and manufactures electronic components and solutions.
Funding
Current Stage
Public CompanyTotal Funding
$1.17BKey Investors
European Investment Bank
2025-12-11Post Ipo Debt· $1.17B
1994-12-08IPO
Leadership Team
Recent News
Investing.com
2026-01-09
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