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Coherent

Global laser technologies and systems supplier

Principal AI Data Scientist - Wafer Fabrication

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeFremont, CA, USANo salary listed

About the Job

Requirements

  • A minimum of 5 years of experience with artificial intelligence; machine learning and statistical analytical techniques are preferred.
  • A bachelor's degree in Data Science, Engineering, Science, Computer Science, or Mathematics is required.
  • Competency in several listed areas, including professional application of machine learning, artificial intelligence, advanced statistics, and data science to engineering or manufacturing problems.
  • Experience with SQL and modern data-processing or data-platform technologies.
  • 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 deploying AI/ML models through RESTful APIs, containerization, and container orchestration.
  • Experience working with structured, time-series, sensor, or high-volume manufacturing data.
  • Ability to collaborate with domain experts and explain analytical results in practical engineering terms.
  • Ability to take an analysis from problem definition through deployment, validation, and communication of results.
  • Follow site EHS procedures and applicable corporate environmental, health, and safety standards.
  • Depending on location, may be responsible for executing and maintaining ISO 9000, 9001, 14001, or other applicable quality and environmental management standards.
  • Adhere to the company's ICARE values in all aspects of the position.

Responsibilities

  • Analyze datasets generated by wafer fabrication processes, equipment, sensors, metrology systems, and manufacturing execution systems.
  • Apply statistical analysis, artificial intelligence, machine learning, and data-mining techniques to understand devices and fabrication processes; monitor processes and detect anomalies; analyze wafer and lot excursions; analyze and predict yield; and investigate root causes.
  • Collaborate with others using artificial intelligence and machine learning.
  • 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, and 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 artificial intelligence in development and manufacturing.
  • Work on-site for the first three months, with the possibility of converting to hybrid work afterward; accommodate weekly morning hours and occasional evening and weekend hours; and travel to other company sites in the Bay Area and the United States as needed.

Desired Qualifications

  • A master's degree is preferred.
  • Experience with statistical analytical techniques is preferred.
  • Experience using cloud-based machine-learning training and inference on AWS, GCP, Azure, or Databricks is a plus.
  • Exposure to wafer fabrication, photonics, and telecommunications is a plus.

About the Company

Coherent

Global laser technologies and systems supplier

Coherent provides lasers, laser-based technologies, and system solutions across Commercial Lasers and Components, Industrial Lasers and Systems, and Aerospace and Defense. Its products include laser sources, components, and complete laser systems used in microelectronics, materials processing, medical diagnostics, and research, sold with after-sales services and recurring software and consumables revenue. The company differentiates itself by offering a broad, integrated portfolio of hardware, services, and software across many industries and regions, serving OEMs, end-users, and government customers. Its goal is to grow by expanding product lines and software-enabled services so customers can deploy and scale laser technology in manufacturing, research, and defense applications.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1966

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