Principal AI Data Scientist – Wafer Fabrication

Coherent • Fremont, CA

1d • Hybrid

About The Position

Analyze datasets generated by wafer fabrication processes, equipment, sensors, metrology systems, and manufacturing execution systems. Apply statistical analysis, AI, machine learning, and data-mining techniques for deeper understanding of devices and fabrication processes, process monitoring and anomaly detection, wafer and lot excursion analysis, yield analysis and prediction, and root-cause investigation. Collaborate with others using AI & ML. Integrate data from multiple sources, including process recipes, equipment logs, sensor data, metrology results, defect inspection, and production history. Translate analytical results into clear engineering insights and actionable recommendations. Communicate these findings to engineers and managers. Work with engineers to distinguish correlation from likely physical or process-driven causation. Develop reusable data pipelines, analytical tools, dashboards, and model-monitoring methods. Support design of experiments, process characterization, and continuous improvement activities. Help establish best practices for data quality, feature engineering, model validation, documentation, and responsible use of AI in development and manufacturing.

Requirements

• Minimum of 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques.
• Bachelor’s degree in Data Science, Engineering, Science, Computer Science or Mathematics.
• Competency in several of the following areas: Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems.
• Experience with SQL and modern data-processing or data-platform technologies.
• Strong knowledge of statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation.
• Programming skills in Python and experience with common data-science and machine-learning libraries.
• Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
• Experience working with structured, time-series, sensor, or high-volume manufacturing data.
• Ability to work collaboratively with domain experts and explain complex analytical results in practical engineering terms.
• Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.
• All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.
• Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.: Integrity – Create an Environment of Trust, Collaboration – Innovate Through the Sharing of Ideas, Accountability – Own the Process and the Outcome, Respect – Recognize the Value in Everyone, Enthusiasm – Find a Sense of Purpose in Work.

Nice To Haves

• Master’s degree is preferred.
• Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.
• Exposure to wafer fabrication, photonics, and telecommunications is a plus.

Responsibilities

• Analyze datasets generated by wafer fabrication processes, equipment, sensors, metrology systems, and manufacturing execution systems.
• Apply statistical analysis, AI, machine learning, and data-mining techniques for deeper understanding of devices and fabrication processes.
• Apply statistical analysis, AI, machine learning, and data-mining techniques for process monitoring and anomaly detection.
• Apply statistical analysis, AI, machine learning, and data-mining techniques for wafer and lot excursion analysis.
• Apply statistical analysis, AI, machine learning, and data-mining techniques for yield analysis and prediction.
• Apply statistical analysis, AI, machine learning, and data-mining techniques for root-cause investigation.
• Integrate data from multiple sources, including process recipes, equipment logs, sensor data, metrology results, defect inspection, and production history.
• Translate analytical results into clear engineering insights and actionable recommendations.
• Communicate findings to engineers and managers.
• Work with engineers to distinguish correlation from likely physical or process-driven causation.
• Develop reusable data pipelines, analytical tools, dashboards, and model-monitoring methods.
• Support design of experiments, process characterization, and continuous improvement activities.
• Help establish best practices for data quality, feature engineering, model validation, documentation, and responsible use of AI in development and manufacturing.

Benefits

• Possibility to convert to hybrid after three months.
• Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
• If you need assistance or an accommodation due to a disability, you may contact us at [email protected].

What This Job Offers

• Job Type: Full-time
• Career Level: Principal