Principal/Staff ML/AI Engineer, Product Engineering, STPG
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- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDevelop, validate, and deploy ML models for yield prediction and test time optimization
Design AI agents that automate engineering and operational workflows
Build data pipelines for high-volume manufacturing and test data
Mentor and coach Citizen Data Scientists in ML methods and analytics
Develop training materials, workshops, and hands-on sessions
From the employer’s posting
Develop, validate, and deploy machine learning models for yield prediction, test time optimization, reliability analysis, and manufacturing process improvement.
Design and develop intelligent AI agents to automate engineering and operational workflows.
Develop data pipelines and frameworks that support AI and machine learning applications.
Mentor and coach Citizen Data Scientists in applying machine learning methodologies and analytics best practices.
Develop training materials, learning paths, workshops, and hands-on technical sessions.
Education & alternatives
## Minimum Required Qualifications/Experience * PhD with ≥2 years, or Master’s degree with ≥5 years, or Bachelor’s degree with ≥7 years of relevant experience in Computer Science, Data Science, Electrical/Electronic Engineering, Artificial Intelligence, or a related field * Minimum of 6 years of relevant industry experience in machine learning, data science, or AI solution development. * Proven experience developing and implementing machine learning solutions in production environments. * Experience working with large-scale structured datasets and predictive analytics applications. * Demonstrated ability to lead technical initiatives and collaborate effectively across multidisciplinary teams. ## Must Have Technical Skills
Tools in this posting
- Python
- AWS
- Azure
- SageMaker
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
Source — Tool mentions in context
## Must Have Technical Skills * Strong programming skills in Python. * Proficiency with data analytics and machine learning libraries such as Pandas, NumPy, Scikit-learn, and related tools. * Strong understanding of supervised and unsupervised machine learning techniques. * Experience with regression models, decision trees, random forests, gradient boosting, and predictive modeling. * Ability to develop, validate, and optimize machine learning models for business and engineering applications. * Experience handling large-scale datasets and building end-to-end ML workflows. * Understanding of statistical analysis, feature engineering, model evaluation, and data visualization. * Familiarity with software development best practices and version control systems. ## Must Have Soft Skills
## Highly Desirable/Preferred Skills or Experience * Semiconductor manufacturing, product engineering, yield engineering, test engineering, or manufacturing analytics experience. * Experience with TensorFlow, PyTorch, or similar deep learning frameworks. * Hands-on experience developing AI agents and agentic AI solutions using frameworks such as LangChain, Microsoft Copilot Studio, Semantic Kernel, or similar technologies. * Experience building and integrating LLM-based applications into enterprise environments. * Knowledge of MLOps practices including model lifecycle management, CI/CD pipelines, model monitoring, and production deployment. * Experience with cloud-based AI and machine learning platforms such as Azure Machine Learning, Azure AI Services, AWS SageMaker, or equivalent. * Knowledge of distributed computing and scalable inference architectures. * Experience with workflow automation platforms such as Power Automate and enterprise collaboration platforms including SharePoint, JIRA, and Confluence. * Track record of technical innovation demonstrated through patents, publications, or significant engineering contributions. * Experience training, mentoring, or leading Citizen Data Scientist programs and analytics communities. Embody Micron’s core values:
Posting record
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- Live
- First seen by us
- Oct 3, 2026 · 27 days ago
- Recorded sightings
- 128
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Oct 1, 2026
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Job description
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Join the Product Engineering team to develop and deploy Artificial Intelligence (AI) and Machine Learning (ML) solutions that transform semiconductor manufacturing and engineering workflows. This role is responsible for building predictive analytics models, developing agentic AI solutions, enabling intelligent automation, and driving data-driven decision-making to improve yield, quality, cycle time, reliability, and cost efficiency. The successful candidate will leverage advanced machine learning techniques, large-scale semiconductor datasets, and AI technologies to solve complex engineering challenges. In addition, this role will mentor and enable Citizen Data Scientists (CDS) by providing technical guidance, training, and best practices in machine learning, analytics, and AI adoption. Strong technical expertise, innovation, collaboration, and communication skills are essential for success. ## Main Responsibilities:
More source context
* Partner with engineering teams to acquire, cleanse, transform, and structure high-volume manufacturing, test, probe, and inline process data. * Develop data pipelines and frameworks that support AI and machine learning applications. * Collaborate with deployment and architecture teams to ensure robust production implementation and scalable inferencing solutions. ### Citizen Data Scientist (CDS) Enablement * Mentor and coach Citizen Data Scientists in applying machine learning methodologies and analytics best practices. * Develop training materials, learning paths, workshops, and hands-on technical sessions. * Review AI/ML projects and provide technical guidance to improve solution quality and business impact. * Foster a culture of data-driven decision-making and AI adoption across Product Engineering. ## Other Responsibilities:
More relevant text appears in the full description.
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