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About the Role
As a Data Scientist at Micron, you will employ techniques and theories drawn from mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data. You will develop predictive models, actionable insights, and solutions, interacting with experienced teams to identify project questions and improve existing tools. This role involves developing software programs, algorithms, and automated processes for data cleansing, integration, and evaluation, with opportunities for exploratory and novel solution development.
Responsibilities
- Design and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection, including experience with vision inspection systems for volume/density measurement and defect monitoring.
- Develop and deploy deep learning models (CNNs, LSTM, transformer-based architectures) for tasks such as image classification, time-series anomaly detection, and multimodal sentiment analysis, leveraging frameworks like TensorFlow, PyTorch, and Keras.
- Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion (text, image, time-series) to solve manufacturing and environmental monitoring challenges.
- Extract, cleanse, and analyze large-scale datasets from SQL databases, cloud platform (GCP), and image data, applying rigorous outlier detection and missing data handling.
- Lead cross-functional collaboration with engineering, operations, and quality teams, including experience in project management, technical writing, and training/mentoring engineers in AI applications.
- Coordinate production deployment activities using MLOps best practices including model monitoring, data drift detection, versioning, and automated testing.
- Communicate technical concepts and project outcomes effectively to both technical and non-technical stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Data Science or AI.
- Minimum 1-2 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.
- At least 1-2 years of working experience in designing and deploying computer vision models for industrial applications, including object detection, image segmentation, and automated inspection using OpenCV.
- At least 1 year of working experience with deep learning frameworks (TensorFlow or PyTorch), including CNNs and generative AI.
- Proven ability to work with multimodal datasets (image with text or time-series), including sentiment analysis or fusion of multiple data types.
- Strong Python programming skills.
- At least 1 year working experience with SQL.
- Familiarity with distributed computing frameworks (Spark or Hadoop).
- In working or research environment consistently demonstrated analytical and problem-solving skills, with a data-driven and research-oriented mindset for at least 2 years.
- Effective communicator and collaborator, with experience in cross-functional project management and training.
- Proven ability with at least 1 year working experience to work independently, manage multiple priorities, and deliver high-quality results in fast-paced, dynamic environments.
- Proven track record of commitment to quality, continuous improvement, and adaptability in manufacturing settings.
- Prior experience in the semiconductor industry (e.g., Intel, STMicroelectronics) or electronics manufacturing.
- Hands-on involvement in integrating computer vision or NLP solutions into production systems.
- Experience with large language models (LLMs), multimodal sentiment analysis, or generative AI.
Skills
- Computer Vision
- Object Detection
- Image Segmentation
- Anomaly Detection
- Automated Inspection
- Vision Inspection Systems
- Deep Learning
- CNNs
- LSTM
- Transformer-based Architectures
- Image Classification
- Time-series Anomaly Detection
- Multimodal Sentiment Analysis
- TensorFlow
- PyTorch
- Keras
- Few-shot Learning
- Generative AI
- Multimodal Fusion
- SQL
- GCP
- MLOps
- Model Monitoring
- Data Drift Detection
- Versioning
- Automated Testing
- Python
- OpenCV
- Spark
- Hadoop
- Project Management
- Technical Writing
- Large Language Models (LLMs)
Experience Level
- 1-2 years
Education Level
- Bachelor’s degree in Computer Science, Data Science or AI
About the Company
- 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
Equal Opportunity
- 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.
- Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
- Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.