Senior Machine Learning Engineer, Defect Quality & Systems

Work onsite in Taylor, TX with a team focused on high-throughput, real-time defect engineering. This Senior Machine Learning Engineer role at Samsung supports in-house ML models that power defect detection and classification in a 24/7 semiconductor manufacturing environment, with ownership across the full model lifecycle and opportunities to set standards for engineering quality.

The base salary range for this position is $106,000 - $145,000 per year. The role is full-time on-site at Samsung Austin Semiconductor, and total compensation includes a competitive benefits package with potential participation in company incentive compensation programs.

What you’ll do

• Lead the design and implementation of advanced ML models for defect detection and classification, optimizing for accuracy, throughput, and minimal time-to-detection.
• Collaborate with expert module owners to convert complex physical defect characteristics into mathematical modeling proposals and rigorous classification frameworks.
• Drive the move from research to production by scanning emerging AI research and whitepapers, then adapting new architectures to address semiconductor manufacturing challenges.
• Improve model performance through feature engineering, hyperparameter tuning, and modern vision approaches such as CNNs and object detection.
• Build and maintain models that support 24/7 production reliability and seamless integration.
• Set the bar for codebase quality and design principles in the group, including technical mentorship and rigorous code reviews.

What you bring

• BS or MS in Software Engineering, Computer Science, Data Science, Mathematics, or a related STEM/Engineering degree.
• 5+ years of relevant experience.
• Semiconductor industry experience is highly preferred.
• Proficiency with open-source ML frameworks, including TensorFlow 2.x and PyTorch, with experience deploying models into production.
• Comfort working with command-line interfaces and Linux (Ubuntu), including optimizing models for hardware performance.
• Ability to translate complex ML metrics into actionable insights for both engineers and site leadership.
• Track record managing complex technical projects from conception through delivery while meeting strict deadlines and software design principles.

Tools and technologies

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

Benefits

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

Total rewards

• Base salary range: $106,000 - $145,000
• 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

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.