Principal AI Data Scientist – Wafer Fabrication

Posted 29 Days Ago
Be an Early Applicant
Fremont, CA, USA
In-Office
Senior level
Industrial • Manufacturing
The Role
Analyze wafer-fabrication, equipment, sensor, metrology, and manufacturing data using statistical analysis, AI, and machine learning. Develop anomaly detection, yield prediction, root-cause, data pipeline, dashboard, and model-monitoring solutions. Integrate diverse manufacturing data sources, support experiments and process improvement, validate and deploy models, and communicate actionable engineering insights to technical and management stakeholders.
Summary Generated by Built In

Primary Duties & 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.
    • Process monitoring and anomaly detection
    • Wafer and lot excursion analysis
    • Yield analysis and prediction
    • 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.

Education & Experience

  • The Candidate will have a minimum of 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques.  

  • A Bachelor’s degree in Data Science, Engineering, Science, Computer Science or Mathematics is required, a Master’s degree is preferred.

Skills

The candidate will have 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 with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.
  • Experience working with structured, time-series, sensor, or high-volume manufacturing data.
  • Exposure to wafer fabrication, photonics, and telecommunications is a plus.
  • 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.

Working Conditions

The job is on-site for the first three months, with the possibility to convert to hybrid afterwards. The job requires weekly morning hours and occasional evening and weekend hours. Travel to other Coherent sites in the Bay Area and the US may be possible to share knowledge with other experts.

Physical Requirements

  • Sitting or standing several hours per day, with the option of having a sit-stand desk.
  • Extensive keyboard and mouse work.

Safety Requirements

 

All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.

Quality and Environmental Responsibilities

 

Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.

Culture Commitment

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


 

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].

 

About UsCoherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!

Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.


Skills Required

  • At least 5 years of experience with artificial intelligence, preferably including machine learning and statistical analysis
  • Bachelor's degree in Data Science, Engineering, Science, Computer Science, or Mathematics
  • Competency in several areas including machine learning, artificial intelligence, advanced statistics, data science, SQL, Python, data processing, model deployment, and manufacturing data analysis
  • 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
  • Ability to collaborate with domain experts and explain complex analytical results in practical engineering terms
  • Ability to take an analysis from problem definition through deployment, validation, and communication of results
  • Master's degree
  • Experience with AI/ML model deployment through RESTful APIs, containerization, and container orchestration
  • Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks
  • Experience working with structured, time-series, sensor, or high-volume manufacturing data
  • Exposure to wafer fabrication, photonics, or telecommunications

Coherent Corp. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Coherent Corp. and has not been reviewed or approved by Coherent Corp..

  • Healthcare Strength — Healthcare Strength: Health coverage includes multiple national and region-specific options (UHC HDHP/HSA, PPO, EPO; Kaiser in CA; Health Net in OR) plus separate dental (Delta Dental) and vision (VSP), indicating strong breadth and choice. This breadth supports a solid total package in certain roles and locations.
  • Equity Value & Accessibility — Equity Value & Accessibility: An Employee Stock Purchase Plan allows buying shares at 85% of market price with contributions up to 10% of pay, expanding ownership access. This feature can materially bolster total rewards even when base pay is mid‑pack.
  • Leave & Time Off Breadth — Leave & Time Off Breadth: Paid time off includes 15 vacation days for new hires, 10 paid holidays, and additional paid time during a December shutdown. This structure provides a clear and competitive baseline for time away from work.

Coherent Corp. Insights

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The Company
HQ: Saxonburg, PA
3,569 Employees

What We Do

Coherent empowers market innovators to define the future through breakthrough technologies, from materials to systems. We deliver innovations that resonate with our customers in diversified applications for the industrial, communications, electronics, and instrumentation markets. Headquartered in Saxonburg, Pennsylvania, Coherent has research and development, manufacturing, sales, service, and distribution facilities worldwide. For more information, please visit us at coherent.com.

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