Design, develop, evaluate, deploy and update data-driven models and analytical solutions for machine learning and natural language applications.
Compensation
Salary Range: $163,617 - $193,200/yr.
Responsibilities
Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications.
Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering.
Routinely build and deploy ML models on available data.
Research and implement novel ML and statistical approaches to add value to the business.
Mentor junior engineers and scientists.
Requirements
Master's degree in Computer Science, Machine Learning, Statistics, or a related field
Bachelor's degree in Computer Science, Machine Learning, Statistics, or a related field
To research, design, develop, and/or test electronic components, software, and systems for semiconductor and related device manufacturing. Design a complete and complex framework, system, or product.
Responsibilities
Research, design, develop, and/or test electronic components, software, and systems for semiconductor and related device manufacturing.
Design a complete and complex framework, system, or product.
Define processes for technical platforms, system and software specifications, input/output and working parameters for hardware and/or software compatibility.
Conceive system interfaces and software application prototypes.
Identify, analyze and resolve system design weaknesses.
Participate in, or lead, design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: Master's degree or PhD in Computer Science or related technical fields
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