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Machine Learning Engineer at Applied Materials - ApplyBlast

Machine Learning Engineer

Applied Materials

3 months ago

3.9 on Glassdoor

Santa Clara, CA, United States

Onsite

Full Time

Senior

0 applicants

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About this role

Applied Materials is seeking a seasoned Machine Learning Engineer to apply cutting-edge AI and generative methods to accelerate scientific and materials innovation. The role involves designing algorithms for process engineering and hardware design, optimizing models for production, and collaborating with scientists to translate frontier techniques into practical solutions. Candidates will work within a cross-functional team to build robust evaluation pipelines and curate scientific datasets.

Responsibilities

Design and develop generative algorithms for materials discovery and hardware design
Fine-tune and optimize machine learning models for downstream workflows
Build robust evaluation protocols and validation pipelines for scientific use cases
Translate frontier AI methods into production-ready algorithmic solutions
Collaborate with scientists and engineers to identify high-impact AI applications

Skills

Qualifications

MS in Computer SciencePh.D. in Computer ScienceMS in Electrical EngineeringMS in MathematicsMS in Statistics

About Applied Materials

appliedmaterials.com

Headquarters

Santa Clara, California, United States

Company Size

10001+ employees

Founded

1967

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Applied Materials is a global leader in materials engineering solutions that enable the production of virtually every new semiconductor chip and advanced display. The company designs, manufactures and services equipment, software and process technologies across semiconductor fabrication (deposition, etch, implantation, inspection/metrology, CMP, ALD/CVD/PVD), advanced packaging and display manufacturing. Its customers include chipmakers, foundries and display manufacturers worldwide, and it provides process integration, factory automation and lifecycle services to improve yield, performance and cost. Headquartered in Santa Clara, California, Applied Materials combines deep R&D and scale to drive device scaling, energy efficiency and new architectures.