A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
Full Time, more than 6 months
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Job Summary
The group you'll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering ofLam's etch and deposition products. We drive innovation to ensure our cutting-edge solutionsare helping to solve the biggest challenges in the semiconductor industry. The impact you'll make We move atoms that move the world.
At Lam Research, we create equipment that allows chipmakers to build device features more than 1,000 times smaller than a grain of sand. This tiny scale has a huge impact. Virtually every leading-edge chip inside the electronic products you use every day (TVs, smartphones, laptops, cars-even medical devices) has been made using our equipment.
As one of the world's most trusted suppliers in the semiconductor equipment industry, we're transforming technology. Our equipment places atoms so precisely that nearly every chip today is made using our innovations.
To build a prosperous career, start with an atom.
Should you choose to walk the path historically driven by Moore's law, your primary job function will involvecutting edge R& D activities in the Semiconductor Equipment Industry. If solving challenges no one has faced before or attempted are of interest to you, then Lam Research is the company for you. What you'll do Developing physics-based models for Thermal/CFD/Chemistry applications for components in semiconductor capital equipment industry. Experience in commercial software like ANSYS Fluent, Star CCM+, or COMSOL, etc., is highly desirable.
Utilizing DOE, Optimization, and statistical methods and data driven modeling to correlate Simulation data to experimental data.
Predict, measure, and analyze the experimental data for uncertainty Quantification & propagation, sensitivity analysis, statistical inference for model calibration, decision making under uncertainty.
Multi-scale modeling from nano, meso to macro levels
Provide design improvements of in-service tools based upon quantitative field measured failure data and less quantitative quality metrics as measured by Lam Research.
Provide written reports and oral presentation of results to design teams and management.
Work directly with mechanical, electrical, process and software engineers to define design requirements, goals and objectives of design, CIP, testing and simulation plans.
Strong written and oral communication. Self-starter to start own initiatives and projects for continuous improvement in capabilities and design.
Put your running shoes on: In this job you'll work in a highly dynamic and rapidly changing environment within a team of interdisciplinary experts driving to solutions to the most challenging business needs. Who we're looking for PhD in Mechanical Engineering or closely related field with strong emphasis in Computational Fluid Dynamics, Heat transfer, Chemistry, or related fields; and 0-3 years professional experience.
Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software.
Coding ability to supplement commercial software for specific applications as needs arise.
Ability to effectively communicate and build relationships to interact, inform,... For full info follow application link. Mechanical Engineers
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Compensation
Depending on Experience
