About The Position

Design and build AI enabled solutions for discriminative and generative applications using a combination of classical and neural network (MLPs, RNNs, CNNs, GNNs, transformers) based machine learning algorithms. Put together efficient data pipelines, develop agents using the latest LLMs or train new networks from scratch, test with rigor and monitor deployments for accuracy and drift. Work with partners across TI to address a wide variety of applications including design (software, digital, analog), manufacturing (process development, fabrication, testing), sales (pricing, recommendations), planning, and general productivity. Address problems at the intersection of math, physics and engineering. Leverage human side information and physical constraints to improve AI model design and training. Deliver robust scalable, performant, and secure solutions. Move comfortably between models which are human derived from observation and models which are learned from data via a common foundation of math (linear algebra, calculus, probability, and optimization).

Responsibilities

  • Design and build AI enabled solutions for discriminative and generative applications
  • Put together efficient data pipelines
  • Develop agents using the latest LLMs or train new networks from scratch
  • Test with rigor and monitor deployments for accuracy and drift
  • Work with partners across TI to address a wide variety of applications
  • Address problems at the intersection of math, physics and engineering
  • Leverage human side information and physical constraints to improve AI model design and training
  • Deliver robust scalable, performant, and secure solutions
  • Move comfortably between models which are human derived from observation and models which are learned from data via a common foundation of math

Benefits

  • Competitive pay
  • Benefits designed to help you and your family live your best life
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