DescriptionChange the world. Love your job.
In your first year with TI youll join the Career Accelerator Program (CAP) a fasttrack development experience that blends professionalskill workshops technical training and onthejob learning so you can start delivering realworld impact from day1.
About the job:
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 robust scalable performant and secure solutions.
Texas Instruments will not sponsor job applicants for visas or work authorization for this position.
QualificationsMinimum requirements:
- Bachelors degree in Electrical Engineering Computer Engineering Computer Science or a related technical field of study
- Cumulative 3.0 / 4.0 GPA or higher
Preferred Qualifications:
- AI / ML
- Masters and / or PhD in a relevant field or equivalent experience
- Development of 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)
- Traditional ML based techniques (clustering regression trees )
- AI / ML based approaches to language speech vision games time series and personalization related applications
- Programming
- Python programming and the PyTorch package
- C / C programming
- SQL programming
- Math
- Dense linear algebra probability and calculus
- Optimization theory and algorithms
- Personal
- Strong technical leadershipcommunication and interpersonal skills
- The ability to dream what could be and the drive to make the dream a reality
Required Experience:
IC
DescriptionChange the world. Love your job. In your first year with TI youll join the Career Accelerator Program (CAP) a fasttrack development experience that blends professionalskill workshops technical training and onthejob learning so you can start delivering realworld impact from day1.About the...
DescriptionChange the world. Love your job.
In your first year with TI youll join the Career Accelerator Program (CAP) a fasttrack development experience that blends professionalskill workshops technical training and onthejob learning so you can start delivering realworld impact from day1.
About the job:
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 robust scalable performant and secure solutions.
Texas Instruments will not sponsor job applicants for visas or work authorization for this position.
QualificationsMinimum requirements:
- Bachelors degree in Electrical Engineering Computer Engineering Computer Science or a related technical field of study
- Cumulative 3.0 / 4.0 GPA or higher
Preferred Qualifications:
- AI / ML
- Masters and / or PhD in a relevant field or equivalent experience
- Development of 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)
- Traditional ML based techniques (clustering regression trees )
- AI / ML based approaches to language speech vision games time series and personalization related applications
- Programming
- Python programming and the PyTorch package
- C / C programming
- SQL programming
- Math
- Dense linear algebra probability and calculus
- Optimization theory and algorithms
- Personal
- Strong technical leadershipcommunication and interpersonal skills
- The ability to dream what could be and the drive to make the dream a reality
Required Experience:
IC
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