At a glance
- Type
- Full Time
- Location
- Dallas, Texas
- Posted
- Oct 8, 2026
- Visa sponsorship
- Texas Instruments sponsorsFrom recent H-1B filings
- Company size
- Enterprise (10K+)
- Industry
- Technology/Software
About the role
Change the world. Love your job.
Texas Instruments (TI) is out front and ready for the next big challenge. Our innovations are at the core of nearly every electronics product in use today. And it doesn't stop there. We're developing breakthrough technology to power the world's future innovations as well. TI is committed to building a better future — from the responsible manufacturing of our semiconductors, to caring for our employees, to giving back inside our communities. Put your talent to work with us.
Responsibilities include
Leads teams developing machine learning models for applications such as predictive analytics, anomaly detection, and recommendation engines.
Sets technical strategy, selects algorithms and frameworks, and oversees data pipeline design and feature engineering for large-scale datasets.
Defines project milestones, allocates resources for data labeling and quality assurance, and ensures model validation using metrics like accuracy, precision, and recall.
Reviews technical documentation, manages budgets for cloud computing and ML tools, enforces data privacy and ethical standards, mentors engineers in advanced ML techniques, and represents the team in technical reviews and stakeholder meetings.
Minimum requirements
Minimum education
Minimum of XX years of experience
Preferred qualifications
XX
About Texas Instruments
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