Senior Data Scientist

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.
Primary Responsibility, but not limited to

• Design and implement computer vision systems & deep learning models for object detection, image segmentation, anomaly detection, and automated inspection, including experience with cameras and vision inspection systems.
• Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion (text, image, time-series) to solve manufacturing and environmental monitoring challenges.
• Lead cross-functional collaboration with engineering, operations, and quality teams, including experience in project management, technical writing, and training/mentoring engineers in data science tools
• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for product improvement.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Deploy data science models and lead the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring.
• Identify relevant insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.

Minimum Qualifications

• Degree in Computer Science, Statistics, or Data Science with minimum of 3 years of data science experience.
• Foundation in statistical modeling, advanced analytics, and modern machine learning techniques.
• Experience in semiconductor yield analysis & process optimization (e.g analyzing FDC, SPC, Probe data)
• Minimum of 3 years experience in computer vision and deep learning in image analytics with good understanding of image processing techniques.
• Experience in deploying end-to-end production grade AI solution in cloud platforms such as Google Cloud Platform (GCP)
• Proficiency with web development such as Angular, FastAPI, Docker.
• Strong proficiency in Python, with minimum of 3 years hands-on experience in SQL, C++
• Excellent communication and presentation skills, able to effectively convey complex data insights to non-technical audiences.
• Excellent problem-solving skills.
• Able to work independently and collaborate effectively with diverse teams.
• Proven ability to work independently, manage multiple priorities, and deliver high-quality results in fast-paced, dynamic environments.

Preferred Qualifications

• Experience working with and applying generative AI and large language models (LLMs) in various areas such as image generation.
• Contributions to top-tier conferences such as CVPR, NeurIPS, ICML, or KDD (Note: This is not a research-focused role)
• Experience in optimizing production ML Models for performance and scalability.

About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]
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