Senior Machine Learning Engineer

2 weeks ago

San Diego, California, United States ASML Full time
About the Role

The Senior Machine Learning Engineer will be part of the EUV Droplet Generator Controls team within ASML San Diego. This team operates in a fast-paced, uniquely innovative, and challenging environment to deliver new-to-industry products supporting the commercialization of EUV technology.

Key Responsibilities
  • Participate in the technology development and system definition process for products in definition and early development stage.
  • Ensure quality of the module to sub-system to system-level performance testing and validation for the products in integration phase.
  • Drive technology improvements enabling new products field release and refinement of system specifications based upon deep understanding of factory and field performance.
  • Collaborate to design and implement end-to-end AI and data science lifecycle, from data collection and preprocessing to model deployment and monitoring, providing technical leadership and guidance.
  • Apply theoretical models, concepts, methods, and novel experimental techniques to quantitatively interpret performance of EUV source systems across a wide range of issues and multiple technical disciplines.
  • Produce clear, concise technical documentation in defined company formats, present results and align with cross-functional teams.
  • Work closely with and cross-functional groups (systems engineering, development engineering, scientists, IT, global customer support personnel, manufacturing personnel) to drive results in AI projects.
Requirements
  • MS or PhD in Computer Science, Data Science, or Machine Learning.
  • Minimum 5 years' experience in a similar role.
  • Perform verification of SDS, verify design specifications from team members and contribute to the testing process (TPS, a-test, (sub system) TAR, b-test).
  • Integrate sub-systems into the system, execute configuration management, and provide support to projects.
  • Structural trouble shooting capabilities on functional level and manages many technical uncertainties at sub-module level and develops creative solutions to solve uncertainties.
Skills
  • Developing and optimizing neural network architectures using frameworks such as TensorFlow and PyTorch.
  • Implementing scalable machine learning models and algorithms in a cloud-based environment.
  • Experience with Natural Language Processing (NLP), Computer Vision, and other AI domains.
  • Proficiency in using GPU and TPU hardware accelerators for deep learning training and inference.
  • Understanding of the concept of large complex system integration and practices.
  • Excellent analytical and troubleshooting skills.
  • Excellent inter-personal and customer service skills, with an advanced understanding of customer relationship building.
  • Excellent written and verbal communication skills.
  • Ability to reduce large amounts of data, create a concise summary, and effectively report results through written and/or graphical formats.
  • Ability to define and execute tasks based on project descriptions with minimum or no supervision.

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