Samsung Electronics
Senior Machine Learning Engineer, Defect Quality & Systems
1530 FM 973 Taylor, TX, USA · Senior · Full-time
Sponsorship not specified$106k-$145kDetected 5 days ago
LinuxMachine LearningTensorFlowPyTorchData ScienceComputer VisionResearchCommunicationMentoring
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
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About the role
- 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.
- 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.
Responsibilities
- 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.
- 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.
- 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.
- Execution Excellence: A history of managing complex technical projects from conception to delivery while adhering to strict deadlines and software design principles.
Nice to have
- Semiconductor industry highly preferred
Skills
- Here's what you'll need:
- BS or MS in Software Engineering, Computer Science, Data Science, Mathematics or related STEM/Engineering degree
- Skills and Qualifications
- Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience.
Compensation
- The current base salary range for this role is between $106,000 - $145,000.
- 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.
Benefits
- We offer a comprehensive benefits package, including:
- Medical, dental, and vision insurance
- Life insurance and 401(k) matching with immediate vesting
- Paid maternity and paternity leave
- Paid time off (PTO) + 2 personal holidays and 10 regular holidays
- Wellness incentives and MORE
- The base compensation for this role will depend on education, experience, skills, and location.
Company info
- At Samsung Austin Semiconductor, we are Innovating Today to Power the Devices of Tomorrow.
- We are seeking a Senior Machine Learning Engineer to serve as a technical lead within the Defect Engineering Systems group.
- At Samsung Austin Semiconductor, base pay is just one part of our total compensation package.
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This listing is sourced directly from Samsung Electronics's careers page and normalized into a canonical job model.