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, ...)