Micron Technology
Technology
AI/MLEngineer/Architect
Neural analysis suggests this role is
optimal for Mid candidates.
“AI/ML Engineer/Architect at Micron Technology. Skills: AI/ML, Architecture, Governance. Lead prototyping of AI/ML models. Drive integration of ML solutions”
Industry & Context.
What They're Looking For.
Must Have
3+ years of experience in AI/ML systems design, Demonstrated experience in developing AI governance frameworks, Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field
Nice to Have
Desired experience with storage systems across validation, firmware, and development workflows
What You'll Do.
Lead prototyping of AI/ML models
Drive integration of ML solutions
and evaluate AI/ML techniques
Lead experimentation efforts
Design and deploy AI/ML models
Define and implement AI governance policies
Collaborate with legal
and engineering teams
Partner with engineering
and program management
Align research outcomes with product roadmaps
Guide selection and integration of AI/ML tools
Promote best practices in model development
Present research findings
Present architectural proposals
Present governance strategies
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Partner with engineering teams; Partner with data science teams; Partner with program management teams
Communication Scope
Stakeholder communication; Translate research
Full Job Description
**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. * Position Summary We are seeking a forward-thinking AI/ML Dev & Architecture Engineer to lead the exploration, prototyping, and productization of cutting-edge AI/ML techniques, as well as the development of governance frameworks for responsible AI deployment. This role combines deep technical research and development with strategic direction to ensure that AI/ML innovation is both impactful and aligned with SPG’s operational goals and ethical standards. Key Responsibilities * Lead the prototyping of AI/ML models and architectures, ensuring rapid experimentation and iteration to validate feasibility and performance. * Drive the integration of validated ML solutions into production environments and product lines, ensuring scalability, reliability, and alignment with SPG's strategic goals. * **AI Research Engineering** Explore, prototype, and evaluate state-of-the-art AI/ML techniques with a focus on architectural design. Lead experimentation efforts to assess feasibility and performance of novel models and frameworks. * **AI/ML Algorithm Development** Design and deploy AI/ML models to solve real-world problems, improve efficiency, and support key functional workflows in SPG. * **AI Governance Architecture** Define and implement AI governance policies, including model validation, compliance, and ethical use standards. Collaborate with legal, security, and engineering teams to ensure responsible AI practices across SPG. * **Cross-Functional Collaboration** Partner with engineering, data science, and program management teams to align research outcomes with product roadmaps and operational needs. * **Tool and Framework Leadership** Guide the selection and integration
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