One Thing
SRDATASCIENTIST
Neural analysis suggests this role is
optimal for Senior candidates.
“SR DATA SCIENTIST at One Thing. Skills: Computer vision, Deep learning, AI, Data science. Design computer vision systems. Implement computer vision systems”
Industry & Context.
Problem-solving skills; Analytical skills
What They're Looking For.
Must Have
Master’s degree in Computer Science, Data Science or AI, 2 years of experience developing and deploying scalable AI applications, Bachelor’s degree in Computer Science, Data Science or AI, 3 years of experience developing and deploying scalable AI applications, 2 years of working experience in computer vision, 2 years of working experience with deep learning frameworks, 2 years of working experience in visualization tools, 2 years of working experience in Python programming, 2 years of working experience with SQL, 1 year working experience in analytical and problem-solving skills, 1 year working experience to work independently
Nice to Have
PhD preferred, Prior experience in semiconductor industry, Hands-on involvement in integrating computer vision or NLP solutions, Contributions to patents, peer-reviewed publications, or top-tier conferences, Experience with large language models, Experience with multimodal sentiment analysis, Experience with generative AI, Professional training or teaching experience in data science or AI topics
What You'll Do.
Design computer vision systems
Implement computer vision systems
Develop deep learning models
Deploy deep learning models
Apply advanced AI techniques
Extract large-scale datasets
Cleanse large-scale datasets
Analyze large-scale datasets
Lead cross-functional collaboration
Coordinate production deployment activities
Contribute to research and innovation
Demonstrate ability to translate research into practical solutions
Communicate technical concepts
Communicate project outcomes
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Cross-functional project management; Collaboration with engineering; Collaboration with operations; Collaboration with quality teams; Collaboration with Data Engineers; Collaboration with Business Areas Engineers; Collaboration with UX teams
Communication Scope
Technical writing; Communicate technical concepts; Communicate project outcomes
Process & Methodology
Project management
Full Job Description
**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed. You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and novel solution development activities. **Key Responsibilities** * **Design and implement computer vision systems** for object detection, image segmentation, anomaly detection, and automated inspection, including experience with RGB-D cameras and vision inspection systems for volume/density measurement and component verification. * **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 en
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