Early Career - AI Solutions Engineer
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).
Requirements
- Combination of classical and neural network (MLPs, RNNs, CNNs, GNNs, transformers) based machine learning algorithms.
- Develop agents using the latest LLMs or train new networks from scratch.
- Experience with math foundations including linear algebra, calculus, probability, and optimization.
Responsibilities
- 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).
Benefits
- Competitive pay and benefits designed to help you and your family live your best life.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
