Process Engineer IV AI / Machine Learning

This position focuses on advancing process engineering through the application of machine learning (ML) and artificial intelligence (AI). The role spans the full development lifecycle\u2014from pilot-scale experiments to high-volume manufacturing\u2014and emphasizes data-driven process formulation, equipment specification, and manufacturing optimization. Key objectives include automating data analysis workflows, accelerating insight generation from complex datasets, and driving AI adoption across process engineering functions.\n\nThe role also partners closely with engineering, scientific, and supplier teams to reduce recurring design and quality issues through systematic data analysis and AI-enabled decision-making. The candidate is expected to independently define, conceptualize, and execute advanced projects in process development, equipment automation, and AI-enabled manufacturing solutions.\n\nRole Responsibilities:\n\n * Design and deploy machine learning models to automate repetitive data sorting, trend detection, and limit setting for process and material specifications.\n\n * Improve engineering efficiency and product robustness by identifying root causes of recurring design and supplier quality issues through data-driven analysis.\n\n * Drive AI adoption across process engineering by developing and applying scalable data analysis models and methodologies.\n\n * Define display equipment requirements and review manufacturing process techniques to support new product introduction and production ramp.\n\n * Design and analyze data collection plans for moderately complex process experiments; compile technical reports and present findings to cross-functional stakeholders.\n\n * Perform hardware and process characterization, including thin-film property measurement and system-level evaluation.\n\n * Apply ML/AI methodologies beyond core R\u0026D, extending to equipment automation and other advanced manufacturing applications.\n\n * Act as a technical resource and mentor for less experienced engineers while operating with minimal supervision.\n\n\n\n\nMinimum Qualifications: \n\n * Ph.D. in Materials Science, Chemical Engineering, Chemistry, or Physics with 7+ years of industry experience, or Master\u2019s degree in the same fields with 10+ years of industry experience.\n\n\n\n\nPreferred Background:\n\n * Strong foundation in materials science, chemical engineering, physics, data science, or engineering data science.\n\n * 3+ years of experience in semiconductor or display manufacturing environments\n\n * Working knowledge of semiconductor or display fabrication equipment and fab process requirements.\n\n * Demonstrated experience applying ML/AI techniques to improve engineering processes, products, or services.\n\n * Coding experience for data processing and model development is preferred.\n\n\n\n\n## Qualifications\n\n### Education:\n\nBachelor\u0027s Degree\n\n### Skills\n\n### Certifications:\n\n### Languages:\n\n### Years of Experience:\n\n7 - 10 Years\n\n### Work Experience:\n\n## Additional Information\n\n### \n\n### Shift:\n\n10-Day 8-Hr (United States of America)\n\n### \n\n### Travel:\n\nYes, 10% of the Time\n\n### \n\n### Relocation Eligible:\n\nNo\n\n### Referral Payment Plan:\n\nEmployee Referral (Standard)\n\nU.S. Salary Range:\n\n$147,000.00 - $202,500.00\n\nThe salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. \n\nFor all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.\n\nApplied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. \n