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Senior Machine Learning Engineer, Defect Quality & Systems

1530 FM 973 Taylor, TX, USA

Live, first seen by us 23 days ago
Pay
$106,000–145,000/year · BaseAnnual period assumed. Location-specific pay — pay source
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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

We are seeking a Senior Machine Learning Engineer to serve as a technical lead within the Defect Engineering Systems group.

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.

  • Design and implement ML models for defect detection and classification

  • Translate physical defect characteristics into modeling proposals with module owners

  • Tune and optimize vision models such as CNNs and object detection

  • Maintain models robust enough for 24/7 production environments

  • Mentor junior engineers and lead code reviews

From the employer’s posting
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.
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.
Lead the design and implementation of sophisticated ML models focused on defect detection and classification
Partner with expert module owners to translate complex physical defect characteristics into mathematical modeling proposals
Enhance model performance through advanced feature engineering, hyperparameter tuning, and the implementation of modern vision architectures (CNNs, Object Detection, etc.)
Develop and maintain models that are robust enough for a 24/7 production environment
providing technical mentorship to junior engineers and conducting rigorous code reviews
Education & alternatives
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
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Status in our records
Live
First seen by us
Oct 15, 202623 days ago
Recorded sightings
56
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,319 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 23

Similar jobs usually come down between day 7 and day 71.

At Sec, jobs usually come down by about day 25.

From 4,684 similar postings that came down, and 30 of Sec’s. Coming down is not always a hire.

Sec is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • PyTorch
  • TensorFlow
Where the posting names them
- 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.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 624, the most 1,094, and the latest week had 868.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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.

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Pay
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.
Location & working pattern

1530 FM 973 Taylor, TX, USA

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.
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