Machine Learning
INDUSTRY: ARTIFICIAL INTELLIGENCE
Position Summary
• Find and optimize signals from data from various resources, transform data, implement new features, and design machine learning models for business value.
• Developing and maintaining in-house models.
• Improve model performance.
Skills and Qualifications
• Experience building and extending machine learning models.
• B.S or M.S Engineering Degree.
• 3- 7 years of Data Science/Machine Learning experience is a must
• Comfortable working with command line interfaces (Ubuntu experience a plus).
• Experience with CNNs, Auto-Encoders, Manifold Learning, and Recommendation Systems.
• Ability to use VM container software (Docker / Kubernetes).
• Familiar with Atlassian software (BitBucket, Confluence, Jira).
• Semiconductor process knowledge (specifically defect domain knowledge: detection, classification, determining impact) is a plus.
• Fundamental understanding of analytic techniques is a plus.
• Enjoy solving challenging problems and eager to learn new technologies.
• Experience with open source frameworks (Tensorflow, PyTorch).
• Proficient with Python, SQL, and data manipulation is required.
• Prefer experience with Tensorflow image processing and modeling
• Excellent communication, interpersonal, initiation, & troubleshooting skills.
• Ability to summarize results to a broad range of audiences.
• Fast learner with the ability to develop and maintain.
• Ability to learn quickly and keep deadlines while applying good design principals.
