Defect Detection Data Jobs

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Senior Machine Learning Engineer, Defect Quality & Systems

Samsung Taylor, TX

Taylor, TX

Today

$106k - $145k/yr Full time Senior Ai Ml Artificial Intelligence

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Job Description

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.

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