Senior Machine Learning Engineer, Defect Quality & Systems

Samsung Electronics America; Taylor (TX); On-site; USD 106,000 - 145,000; Full time

Benefits offered by this job

Onsite café

401(k) matching

Maternity/Paternity leave

PTO + holidays

Healthcare benefits

Job summary

Samsung Austin Semiconductor is seeking a Senior Machine Learning Engineer to lead ML initiatives in a high-throughput manufacturing environment. You will architect and deploy vision-based models for defect detection and classification, partner with module owners for domain-aligned modeling, and mentor a small team of engineers.

The role focuses on turning cutting-edge AI research into reliable production systems, with emphasis on performance, throughput, and maintainability in a 24/7 facility.

Qualifications

• BS or MS in Software Engineering, Computer Science, Data Science, Mathematics or related STEM/Engineering field.
• 5+ years relevant experience in ML/AI is required.
• Expertise with open-source ML frameworks (TensorFlow 2.x, PyTorch) and deploying models to production.

Responsibilities

• Architect advanced ML solutions for defect detection and classification.
• Drive domain alignment with module owners to translate defect characteristics into models.
• Innovate by researching AI advances and adapting architectures for manufacturing challenges.
• Optimize ML pipelines with feature engineering, tuning, and modern vision architectures.
• Ensure scalability for 24/7 production environments and mentor junior engineers.

Skills

Machine Learning

Python

Model Deployment

Statistical Modeling

Communication

Education

BS in Software Engineering/CS/Data Science/Mathematics

MS preferred

Tools

TensorFlow 2.x

PyTorch

Linux (Ubuntu)

Command Line Interfaces

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.Role and ResponsibilitiesHere’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 QualificationsHere's what you'll need:Education : BS or MS in Software Engineering, Computer Science, Data Science, Mathematics or related STEM/Engineering degreeExperience: 5+ years relevant experienceSemiconductor industry highly preferredExpertise 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 RewardsAt 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 insuranceLife insurance and 401(k) matching with immediate vestingOnsite café(s) and workout facilitiesPaid maternity and paternity leavePaid time off (PTO) + 2 personal holidays and 10 regular holidaysWellness incentives and MOREEligible 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.* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page.* Samsung Electronics America, Inc. and its subsidiaries are committed to Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.