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Machine Learning Engineer Jobs in Boise, ID (NOW HIRING)

Micron Technology

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 ...

Micron

New College Grad - EDA/CAD Engineer

Boise, ID · On-site

$64K - $159K/yr

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 ...

Micron

New College Grad - EDA/CAD Engineer

Boise, ID · On-site

$64K - $159K/yr

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 ...

Micron Technology

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 ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

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

Micron

Sr Data Scientist

Boise, ID · On-site

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

Micron

Senior Engineer, Technology - AMAIS

Boise, ID · On-site

$99K - $136K/yr

Work in a multi-functional team of modeling engineers and AI experts highly skilled in modeling of ... Position requires: 1. Thermal modeling 2. Computer vision 3. Machine learning and deep learning ...

1000 Micron Technology, Inc.

Sr Data Scientist

Boise, ID · On-site

$90 - $120/hr

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

New

Micron

RAM RDA Process Engineer HVM

Boise, ID · On-site

Experience using AI-enabled tools, machine learning, automation platforms, or data analytics to improve engineering decisions and productivity As a world leader in the semiconductor industry, Micron ...

Meta

Lead Building Engineer

Kuna, ID

$104K/yr

As a Lead Building Engineer, you will provide senior-level technical leadership across mechanical ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Micron Technology

AMHS Robotics Engineer

Boise, ID · On-site

As an AMHS Robotics Engineer, you will have the outstanding chance to create, deploy, and improve ... Experience applying AI, advanced analytics, or machine learning methods to equipment performance ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Boise, ID

Machine Learning Engineer information

See Boise, ID salary details

$30K

$122.6K

$184.2K

How much do machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer in Boise, ID is $122,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $147,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Boise, ID?

The most popular types of Machine Learning Engineer jobs in Boise, ID are:

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Boise, ID as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,557 per year, or $58.9 per hour.

Sr Engineer, Photo DRAM

Micron Technology

Boise, ID • On-site

$99K - $136K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 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 157 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.
Join Micron's Advanced DRAM Research & Development Photolithography team and help shape the technologies that power next-generation memory solutions. We are developing innovative lithography processes that enable future device architectures and manufacturing breakthroughs. Working alongside experts across Process Integration, Wet Etch, CVD, Diffusion, Metals, Dry Etch, and CMP, you will contribute to technology advancements that drive performance, scalability, and yield.
As a Senior Engineer in Photolithography Process Development, you will play a key role in developing and optimizing advanced lithography processes for future DRAM technologies. This position offers the opportunity to lead critical process development efforts, collaborate with equipment and material suppliers, and apply data-driven approaches to solve complex technical challenges. You will have significant ownership of process roadmaps while contributing to innovative solutions that support Micron's technology goals!
Responsibilities:
  • Lead development of manufacturing-friendly photolithography processes for next-generation memory technologies using 365nm, 248nm, and 193nm immersion lithography
  • Collaborate with equipment and material suppliers to identify and implement solutions to complex process challenges
  • Develop new design, layout, and lithography methodologies that enable future memory device architectures
  • Apply data analytics and machine learning techniques to identify root causes, optimize process performance, and improve yield
  • Document and communicate project plans, technical results, and innovation opportunities, including intellectual property disclosures

Minimum Qualifications:
  • Master's or PhD degree in Engineering, Materials Science, Physics, Chemistry, or a related technical field, OR Bachelor's degree with5+ years of Photolithography industry experience
  • Understanding of optics, including immersion lithography, polarized illumination, and low-k1 imaging
  • Knowledge of lithography materials, chemistry, and processes related to 365nm, 248nm, and 193nm lithography technologies
  • Strong written, verbal, and presentation communication skills
  • Experience using AI tools to automate workflows and improve engineering productivity

Preferred Qualifications:
  • Research and development experience with a demonstrated ability to develop manufacturing-friendly semiconductor technologies
  • Academic or industry experience in photolithography and semiconductor manufacturing
  • Experience with photolithography simulation software and lithography characterization techniques
  • Data science, programming, or machine learning experience applied to semiconductor process development
  • Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and yield improvement initiatives.

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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