Principal Machine Learning Engineer

Experteer Overview As a Principal Machine Learning Engineer on the Smart Manufacturing and AI team, you will build and deploy scalable ML solutions to extract value from Micron’s manufacturing data. You collaborate with data scientists, ML engineers, and data engineers to advance AI capabilities across cloud platforms. You’ll lead end-to-end ML projects, mentor teammates, and drive generation-and-deployment strategies that balance performance and cost. This role offers impact at scale in a fast-moving, data-driven environment. Compensation / Benefits * Design, build and refine ML models to address business challenges and enhance product capabilities * Analyze large datasets to uncover patterns informing model improvement * Stay ahead of AI/ML advances and integrate new techniques into the MLOps lifecycle * Build and maintain scalable data pipelines and infrastructure for training and deployment * Collaborate on data preprocessing and feature engineering to improve data quality and model performance * Design and optimize data architectures across cloud platforms for AI/ML use cases * Develop custom applications and implement CI/CD pipelines for ML deployment * Deploy, monitor and evaluate models in production with a focus on performance and cost efficiency * Partner with Product and Engineering to define Generative AI integration roadmaps * Communicate insights to diverse stakeholders and translate analytics into actionable recommendations * Drive the technical vision and lead end-to-end execution of multi-functional AI/ML projects * Mentor and coach team members to raise engineering competence * Embrace AI-assisted software development tools while auditing AI agents for quality and security Tasks * 8+ years of experience in end-to-end ML systems on cloud platforms (PhD: 5+ years) * Strong experience with ML frameworks: scikit-learn, TensorFlow, PyTorch * Proficient in Python or Java; experience with APIs and event-driven pipelines (Kafka, Pub/Sub) * Skilled in ETL/ELT pipelines and data architecture design (Kubeflow, Airflow, Dataflow) * Experience with cloud and DevOps tools (GCP, AWS, Azure, Docker, Kubernetes) * Proven technical leadership in ML project delivery and mentoring Key requirements * medical, dental, and vision plans * robust paid time-off program * paid holidays * income protection programs * paid family leave * benefits guide on micron.com/careers/benefits

and performance * Design and optimize data architectures across cloud platforms for AI/ML use cases * Develop custom applications and implement CI/CD pipelines for ML deployment * Deploy, monitor and evaluate models in production with a focus on performance and cost efficiency * Partner with Product and Engineering to define Generative AI integration roadmaps * Communicate insights to diverse stakeholders and translate analytics into actionable recommendations * Drive the technical vision and lead end-to-end execution of multi-functional AI/ML projects * Mentor and coach team members to raise engineering competence * Embrace AI-assisted software development tools while auditing AI agents for quality and security Tasks * 8+ years of experience in end-to-end ML systems on cloud platforms (PhD: 5+ years) * Strong experience with ML frameworks: scikit-learn, TensorFlow, PyTorch * Proficient in Python or Java; experience with APIs and event-driven pipelines (Kafka, Pub/Sub) * Skilled in aaaa and pipelines and data architecture design (Kubeflow, Airflow, Dataflow) * Experience with cloud and DevOps tools (GCP, AWS, Azure, Docker, Kubernetes) * Proven technical leadership in ML project delivery and mentoring Key requirements * medical, dental, and vision plans * robust paid time-off program * paid holidays * income protection programs * paid family leave * benefits guide on micron.com/careers/benefits