Texas Instruments is looking to design and build AI enabled solutions for discriminative and generative applications using a combination of classical and neural network based machine learning algorithms.
Requirements
- 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)
- Traditional ML based techniques (clustering, regression, trees, ...)
- AI / ML based approaches to language, speech, vision, games, time series, and personalization related applications
- Python programming and the PyTorch package
- C / C++ programming
- SQL programming
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.
- Deliver robust scalable, performant, and secure solutions.
Other
- Texas Instruments will not sponsor job applicants for visas or work authorization for this position.
- 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
- Master’s and / or PhD in a relevant field or equivalent experience
- Strong technical leadership, communication and interpersonal skills
