Design and build AI enabled solutions for discriminative and generative applications using a combination of classical and neural network based machine learning algorithms to address a wide variety of applications including design, manufacturing, sales, planning, and general productivity at Texas Instruments
Requirements
- AI / ML: Development of novel neural network related algorithms and associated publication in top technical conferences
- AI / ML: Design, training, and use of the latest transformer based LLMs (reasoning, agents)
- AI / ML: Design, training, and use of additional neural network types (MLPs, RNNs, CNNs, GNNs)
- Programming: Python programming and the PyTorch package
- Programming: C / C++ programming
- Programming: SQL programming
- Math: Dense linear algebra, probability, and calculus
Responsibilities
- Design and build AI enabled solutions for discriminative and generative applications using a combination of classical and neural network 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, manufacturing, sales, planning, and general productivity
- Deliver robust scalable, performant, and secure solutions
- Develop novel neural network related algorithms and associated publication in top technical conferences
- Design, training, and use of the latest transformer based LLMs (reasoning, agents)
- Design, training, and use of additional neural network types (MLPs, RNNs, CNNs, GNNs)
Other
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science or a related technical field of study
- Cumulative 3.0 / 4.0 GPA or higher
- Strong technical leadership, communication and interpersonal skills
- The ability to dream what could be and the drive to make the dream a reality
- Texas Instruments will not sponsor job applicants for visas or work authorization for this position
