AI & Analytics Scientist for Semiconductor Automation

Applied Materials, Inc.; Austin (TX); On-site; USD 79,000 - 108,000; Full time

Job summary

Applied Materials, Inc. in Austin, Texas seeks a data scientist to develop and deploy AI, ML, and analytics solutions across Install Automation and Smart Sequencing initiatives.

The role focuses on building predictive models, designing data pipelines, and applying Generative AI to automate engineering workflows. Travel and relocation may be involved as part of our global team, with a strong emphasis on delivering measurable business impact.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Artificial Intelligence, or related field.
• 3+ years of experience in Data Science, Machine Learning, AI, Advanced Analytics, or Process Automation.
• Strong proficiency in Python and ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, or equivalent.

Responsibilities

• Develop and deploy AI, ML, and analytics solutions to support Install Automation, Auto Sequencing, Smart Sequencing, and task automation initiatives.
• Build predictive and optimization models that improve installation efficiency, resource utilization, workflow execution, and cycle-time performance.
• Analyze engineering, installation, service, and operational data to identify patterns, predict outcomes, and drive automation decisions.
• Design and implement data pipelines, feature engineering, model training, validation, deployment, and monitoring processes.
• Apply machine learning, optimization techniques, and Generative AI to automate engineering workflows, documentation, and decision-making.
• Create dashboards and KPI frameworks to measure automation effectiveness, productivity improvements, and business impact.
• Partner with Engineering, Manufacturing, Service, and Digital Transformation teams to develop and scale enterprise automation solutions.
• Document methodologies, models, and best practices to support adoption across global teams.

Skills

Python

Machine Learning

Data Science

Analytics

Data Pipelines

Education

Bachelor's/Master's in Data Science/CS/Engineering/Stats/AI

Tools

Scikit-Learn

TensorFlow

PyTorch

Job description

Applied Materials, Inc. in Austin, Texas seeks a data scientist to develop and deploy AI, ML, and analytics solutions across Install Automation and Smart Sequencing initiatives.

The role focuses on building predictive models, designing data pipelines, and applying Generative AI to automate engineering workflows. Travel and relocation may be involved as part of our global team, with a strong emphasis on delivering measurable business impact.