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Machine Learning Engineer Quantization Jobs in Meridian, ID

Staff Engineer, CE CAD

Boise, ID · On-site

$98K - $312K/yr

Explore and apply generative AI and machine learning techniques to practical custom IC design and ... Strong programming skills in Python, experience developing maintainable technical software or ...

junior software programmer full stack

Boise, ID · On-site

$63K - $82K/yr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

... in engineering or related industry with in-depth knowledge in statistical modeling, machine learning, deep learning. Strong skills in python and at least familiar with 1 machine learning framework ...

Staff Engineer, CE CAD

Boise, ID · On-site

$98K - $312K/yr

Explore and apply generative AI and machine learning techniques to practical custom IC design and ... Strong programming skills in Python, experience developing maintainable technical software or ...

Staff Engineer, CE CAD

Boise, ID · On-site

$98K - $312K/yr

Explore and apply generative AI and machine learning techniques to practical custom IC design and ... Strong programming skills in Python, experience developing maintainable technical software or ...

Sr Engineer, Photo DRAM

Boise, ID · On-site

$99K - $136K/yr

As a Senior Engineer in Photolithography Process Development, you will play a key role in ... Apply data analytics and machine learning techniques to identify root causes, optimize process ...

Sr Engineer, Photo DRAM

Boise, ID · On-site

$99K - $136K/yr

As a Senior Engineer in Photolithography Process Development, you will play a key role in ... Apply data analytics and machine learning techniques to identify root causes, optimize process ...

Sr Engineer, Photo DRAM

Boise, ID · On-site

$99K - $136K/yr

As a Senior Engineer in Photolithography Process Development, you will play a key role in ... Apply data analytics and machine learning techniques to identify root causes, optimize process ...

We are seeking an EDA/CAD Engineer with hands-on experience in AI, Machine Learning (ML), LLMs, or advanced automation. In this role, you will apply expertise in IC design, layout, verification ...

We are seeking an EDA/CAD Engineer with hands-on experience in AI, Machine Learning (ML), LLMs, or advanced automation. In this role, you will apply expertise in IC design, layout, verification ...

Sr Data Scientist

Boise, ID · On-site

$100 - $130/hr

Model Development & Feature Engineering: Develop predictive models using machine learning techniques (regression, classification, clustering) to optimize manufacturing processes and improve product ...

Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and ...

Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and ...

Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and ...

Showing results 41-60

Machine Learning Engineer Quantization information

See Meridian, ID salary details

$30.5K

$124.8K

$187.6K

How much do machine learning engineer quantization jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer quantization in Meridian, ID is $124,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,300.00 per year, depending on experience, location, and employer.

What does a machine learning engineer quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What are some common challenges machine learning engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What are the key skills and qualifications needed to thrive as a machine learning engineer quantization, and why are they important?

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What is the difference between Machine Learning Engineer Quantization vs Data Scientist?

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What are popular job titles related to Machine Learning Engineer Quantization jobs in Meridian, ID?

For Machine Learning Engineer Quantization jobs in Meridian, ID, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Quantization jobs in Meridian, ID look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in Meridian, ID are:

What cities near Meridian, ID are hiring for Machine Learning Engineer Quantization jobs?

Cities near Meridian, ID with the most Machine Learning Engineer Quantization job openings:

Product Yield & Analytics PYAi Engineer

Micron

Boise, ID • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 18 days ago


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers


Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Micron Technology is seeking a highly motivated Senior Data Science & Product Yield Analytics Engineer to join the Product Yield & Analytic (PYA) organization. This role focuses on applying data science, software engineering, and advanced analytics to semiconductor manufacturing data, with a strong emphasis on Improved Software for Defect Analysis (ESDA) and Electrical Failure Analysis bench testing systems used companywide.

In this position, you will employ techniques drawn from statistics, machine learning, semiconductor physics, and largescale data engineering to uncover patterns, build predictive models, and develop actionable insights that drive yield, quality, and reliability improvements across Micron's memory products.

You will work closely with Data Scientists, Data Engineers, Product Engineers, Build teams, Yield Enhancement, RDA, Failure Analysis, and IT teams across global sites to develop and expand ESDA capabilities and analytics platforms that directly support manufacturing and product development.

Responsibilities:

  • Expand and enhance ESDA capabilities to improve yield, quality, and product reliability.
  • Develop yield, defect matching, and modeling methods to accelerate manufacturing feedback to RDA and YE teams.
  • Create and maintain engineering software tools for ESDA analytics and product line monitoring.
  • Collaborate with design, failure analysis, and product teams to optimize redundancy, compression, and defect analysis methodologies.
  • Support next-generation memory devices through advanced analytics and data-driven insights.
  • Using AI in applicable job functions

Minimum Qualifications:

  • BS or MS in Electrical Engineering, Computer Engineering, Data Science, Software Development, or a related technical field.
  • Proficiency in at least one programming language and familiarity with machine learning and data science techniques.
  • Familiarity with Microns Improved Software for Defect Analysis (ESDA) system

Preferred Qualifications:

  • Experience with memory products in product engineering, test, build, yield improvement, software development, or data science.
  • Strong analytical and problem-solving skills applied to sophisticated manufacturing data.
  • Ability to communicate complex technical concepts effectively across global, multi-functional teams.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn about your right to work click here.

To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.


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