[Samsung Electronics America] Senior Machine Learning Engineer, Defect Quality & Systems 채용

Samsung Electronics America; United States; On-site; USD 106,000 - 145,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) matching

Onsite café and workout facilities

Paid maternity and paternity leave

PTO + holidays

Job summary

Samsung Austin Semiconductor is seeking a Senior Machine Learning Engineer to lead the Defect Quality & Systems group. You will drive the strategy for in-house ML models, detecting and classifying defects in real-time, and own the full ML lifecycle from design to deployment in a 24/7 manufacturing environment.

As a senior member, you will mentor junior engineers, establish best practices for validation and maintenance, and collaborate with module owners to translate defect characteristics into

Qualifications

• BS or MS in Software Engineering, Computer Science, Data Science, Mathematics or related STEM/Engineering degree.
• 5+ years relevant experience in ML/AI
• Semiconductor industry highly preferred
• Expertise in ML Frameworks: TensorFlow 2.x and PyTorch with production deployment
• Strong Linux/Ubuntu CLI skills and hardware-aware model optimization
• Strong ability to communicate ML metrics to non-technical audiences

Responsibilities

• Architect Advanced ML Solutions: lead the design and implementation of sophisticated ML models for defect detection and classification with high throughput.
• Drive Domain Alignment: collaborate with module owners to translate physical defect characteristics into robust ML models.
• Innovate via Research: identify new AI research and adapt architectures for production in semiconductor manufacturing.
• Optimize the ML Pipeline: improve performance via feature engineering, hyperparameter tuning, and modern vision architectures.
• Ensure Operational Scalability: build models robust for 24/7 production and seamless deployment.
• Mentor & Lead: provide mentorship and drive code quality and best practices within the team.

Skills

Defect detection

Semiconductor

AI

TensorFlow

Education

BS or MS in STEM/Engineering

Tools

TensorFlow 2.x

PyTorch

Job description

About Samsung Austin SemiconductorSamsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow. Come innovate with us!Position SummaryWe are seeking a Senior Machine Learning Engineer to serve as a technical lead within the Defect Engineering Systems group. In this critical role, you will drive the strategy for our in-house ML models, directly impacting the company's ability to detect and classify critical defects in real-time. You will be responsible for the entire ML lifecycle—from collaborating with module owners to define classification logic, to architecting scalable vision models that operate within our high-throughput, 24/7 manufacturing environment. As a senior member of a small, high-performing team, you will not only develop cutting-edge models but also mentor junior engineers and establish the best practices for model deployment, validation, and maintenance.

Senior Machine Learning Engineer, Defect Quality & Systems

Senior Machine Learning Engineer, Defect Quality & Systems

• Defect Detection
• Semiconductor
• AI
• TensorFlow

• 접수기간

  2026.10.16 ~ 2027.10.15 D-348

About Samsung Austin Semiconductor
Samsung is a world leader in advanced semiconductor technology, founded on the belief that the pursuit of excellence creates a better world. At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.

Come innovate with us!

Position Summary

We are seeking a Senior Machine Learning Engineer to serve as a technical lead within the Defect Engineering Systems group. In this critical role, you will drive the strategy for our in-house ML models, directly impacting the company's ability to detect and classify critical defects in real-time. You will be responsible for the entire ML lifecycle—from collaborating with module owners to define classification logic, to architecting scalable vision models that operate within our high-throughput, 24/7 manufacturing environment. As a senior member of a small, high-performing team, you will not only develop cutting-edge models but also mentor junior engineers and establish the best practices for model deployment, validation, and maintenance.

Role and Responsibilities

Here’s What You’ll Be Responsible For:

• Architect Advanced ML Solutions : Lead the design and implementation of sophisticated ML models focused on defect detection and classification, optimizing for maximum accuracy, throughput, and minimal time-to-detection.
• Drive Domain Alignment : Partner with expert module owners to translate complex physical defect characteristics into mathematical modeling proposals and rigorous classification frameworks.
• Innovate via Research : Spearhead the transition from theory to production by identifying emerging AI research and whitepapers, adapting new architectures to solve unique semiconductor manufacturing challenges.
• Optimize the ML Pipeline : Enhance model performance through advanced feature engineering, hyperparameter tuning, and the implementation of modern vision architectures (CNNs, Object Detection, etc.).
• Ensure Operational Scalability : Develop and maintain models that are robust enough for a 24/7 production environment, ensuring seamless integration and high reliability.
• Mentor & Lead : Set the standard for codebase quality and design principles within the group, providing technical mentorship to junior engineers and conducting rigorous code reviews.
  

Skills and Qualifications

Here’s what you’ll need:

• Education : BS or MS in Software Engineering, Computer Science, Data Science, Mathematics or related STEM/Engineering degree
• Experience: 5+ years relevant experience
• Semiconductor industry highly preferred
• Expertise in ML Frameworks : Mastery of open-source frameworks (TensorFlow 2.x, PyTorch) with a proven track record of deploying models into production environments.
• Systems Proficiency : High comfort level with command-line interfaces and Linux environments (Ubuntu), with an understanding of how to optimize models for hardware performance.
• Strategic Communication : Ability to synthesize complex ML metrics into actionable business insights for a broad range of audiences, from fellow engineers to site leadership.
• Execution Excellence : A history of managing complex technical projects from conception to delivery while adhering to strict deadlines and software design principles.

The current base salary range for this role is between $106,000 - $145,000. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.

Total Rewards

At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.

We offer a comprehensive benefits package, including:

• 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
• Paid time off (PTO) + 2 personal holidays and 10 regular holidays
• Wellness incentives and MORE
  

Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.

All positions at Samsung Austin Semiconductor are full-time on-site.

Trade Secrets
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.