Job description

Job Summary & Responsibilities

The Data Scientist will join advanced numerics R&D teams in Singapore and Milpitas, California. The highly self-motivated individual will work closely with data/research scientists, software developers and application scientists to innovate, prototype, validate, implement and test advanced data analysis algorithms that enhance optical metrology performance.

Roles and Responsibilities:

  • Interface with application scientists and marketing to understand and analyze customers’ requirements and technology gaps.
  • Work in a team or individually to innovate new concepts, develop new/improved methods and machine learning algorithms to address customers’ requirements and close technology gaps.
  • Collect and analyze technical data, propose improvements, and formulate solutions.
  • Conceptualize, design and fine-tune algorithms and find the best approach to solve a specific problem.
  • Prototype, validate, and implement advanced algorithms that enhance optical metrology performance.
  • Define new features, create software requirement documents, prepare and perform test plans.
  • Play a key role in technology development and ensuring customer adoption for optical metrology data analysis solutions


  • Ph. D. or equivalent (MS with at least 3 years’ experience) in an engineering discipline or appropriate physical science
  • 2+ years’ experience in machine learning research/engineering or related areas
  • Strong programming skills in Python/Matlab/R
  • Extensive experience with ML frameworks/libraries such as scikit-learn, Tensorflow, Caffe, and PyTorch
  • Strong sense for innovative and creative approaches to solve machine learning problem statements
  • Experience in the semiconductor or related manufacturing industry is a strong plus
  • Experience and knowledge in one or more of the following areas is a strong plus: statistics, estimation and optimization, signal processing, and data visualization.
  • Demonstrate passion to learn new technology and competency to master new concepts
  • Intellectual honesty and a sense of urgency in driving projects to completion
  • Excellent communication skills, ability to concisely present findings to both internal and external stakeholders
  • Ability to travel up to 25% is preferred
  • Ability to work independently in a fast-paced, iterative development environment or work within a cross-department collaborative setting (Applications, Software Development, Integration, ...)

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