Six Figure Work

Senior Machine Learning Engineer, Defect Quality & Systems

Samsung

Company websitesamsung.com (Samsung, opens in new tab)

Base salary $106K  to $145K

Employer-published annual base salary, USD. Advertised base range in United States

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  • LocationUnited States
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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.


* 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. If you are European Economic Resident, please click here.


* 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.

Source: Samsung on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($106,000) is above 5% of the 69 Data & ML roles in Texas listed on this site; 2 others list the same floor. Their median floor is $143,640; the middle half runs from $130,000 to $160,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Samsung roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Samsung roles with the nearest advertised base floor
RolePublished base
Senior Machine Learning Engineer, Defect Quality & Systems (this listing)$106K - $145K
Photo Equipment Engineer$106K - $145K
Senior PCS Scrubber Engineer$106K - $145K
Senior UPW-IWT Project Engineer$106K - $145K
CMP Process Engineer$106K - $145K
Senior CMP Equipment Engineer$106K - $145K
Senior Engineer, Life Safety System (LSS)$106K - $145K

Same $100K to $400K scale as every card. All Samsung roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-15
Where this pay comes from

Location as the employer wrote it: 1530 FM 973 Taylor, TX, USA

The current base salary range for this role is between $106,000 - $145,000. Individual base pay rates will depend on factors including

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.