Senior Machine Learning Engineer, Defect Quality & Systems

Samsung is seeking a Senior Machine Learning Engineer to lead in-house machine learning models for defect engineering systems. The role focuses on real-time defect detection and classification within a high-throughput, 24/7 semiconductor manufacturing environment, with ownership across the full ML lifecycle.

Responsibilities

• Design and implement advanced machine learning models for defect detection and classification, with emphasis on accuracy, throughput, and minimal time-to-detection.
• Collaborate with module owners to convert complex physical defect characteristics into mathematical modeling proposals and rigorous classification frameworks.
• Drive the transition from research to production by identifying emerging AI research and whitepapers and adapting new architectures to address semiconductor manufacturing challenges.
• Improve model performance through feature engineering, hyperparameter tuning, and modern vision architectures such as CNNs and Object Detection.
• Develop and maintain models suitable for continuous production operations, supporting seamless integration and high reliability.
• Set group standards for code quality and design principles, mentor junior engineers, and complete rigorous code reviews.

Requirements

• Education: BS or MS in Software Engineering, Computer Science, Data Science, Mathematics, or a related STEM/Engineering degree.
• Experience: 5+ years of relevant experience.
• Preferred: Semiconductor industry experience.
• Strong proficiency with open-source frameworks, including TensorFlow 2.x and PyTorch, with a proven history of deploying models into production.
• Comfort working with command-line interfaces and Linux environments (including Ubuntu), along with understanding of optimizing models for hardware performance.
• Ability to translate complex ML metrics into actionable business insights for audiences ranging from engineers to site leadership.
• Demonstrated experience managing complex technical projects from concept through delivery while meeting strict deadlines and applying solid software design principles.

Technologies

• TensorFlow 2.x
• PyTorch
• CNNs
• Object Detection
• Linux
• Ubuntu

Location

Taylor, TX (onsite)

Salary and Total Rewards

• The current base salary range is $106,000 - $145,000 per year.
• Total compensation includes a competitive benefits package and may include participation in company incentive compensation programs.
• All positions at Samsung Austin Semiconductor are full-time on-site.

Benefits

• Medical, dental, and vision insurance
• Life insurance and 401(k) matching with immediate vesting
• Onsite café(s) and workout facilities
• Paid maternity and paternity leave
• PTO plus 2 personal holidays and 10 regular holidays
• Wellness incentives and MORE
• MBO bonuses based on company, division, and individual performance
• Competitive benefits package and may include participation in company incentive compensation programs

Trade Secrets Notice

By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information, including trade secrets, belonging to a current or former employer or other entity.