THE GROUP YOU’LL BE A PART OF

The Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.

We are looking for an intern who wishes to enhance his / her skills in Machine Learning (ML) / Deep Learning (DL) Models with the focus in Probabilistic modeling, surrogate models, and Bayesian Optimization. Lam’s expert Data Science Team has recently shown that Bayesian Optimization can significantly help process development. This internship will build on top of this groundbreaking work that made use of Bayesian optimization (BO) techniques to enhance the efficiency of semiconductor process development. Process engineers use their expertise to solve these problems through extensive experimentation, which is cost intensive and requires a lot of time. Bayesian Optimization offers a powerful framework for addressing these challenges by iteratively selecting suitable experimental conditions. Your responsibilities include :

• Contribute to the development on BO based framework for modeling and optimization.
• Explore and implement different probabilistic surrogate models such as Gaussian Processes (and variants) to represent process behavior.
• Implement and test specific features to help improve the BO framework.
• Validate the overall framework by carrying out experiments on virtual datasets.