1

Artificial Intelligence Machine Learning Engineer Jobs in Boise, ID

Staff Security Engineer

Boise, ID · On-site

$150 - $190/hr

  • Medical

  • Dental

  • Vision

  • PTO

Experience with AI and automation technologies, including machine learning concepts, Copilot Studio ... by artificial intelligence, passionate about safeguarding critical intellectual property and ...

New

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

In this role, you will participate in tasks that help improve machine learning models, including ... Potential for ongoing project participation We may use artificial intelligence (AI) tools to ...

... machine learning/artificial intelligence techniques. * Speaks with authority to most layers of depth related to data science methods. * Experience in scripting and / or programming language ...

... machine learning/artificial intelligence techniques. * Speaks with authority to most layers of depth related to data science methods. * Experience in scripting and / or programming language ...

... machine learning/artificial intelligence techniques.Speaks with authority to most layers of depth related to data science methods.Experience in scripting and / or programming language, especially ...

Data Scientist III

Boise, ID · On-site

$110 - $165/hr

... machine learning/artificial intelligence techniques. * Speaks with authority to most layers of depth related to data science methods. * Experience in scripting and / or programming language ...

... machine learning/artificial intelligence techniques. * Speaks with authority to most layers of depth related to data science methods. * Experience in scripting and / or programming language ...

Showing results 41-60

Artificial Intelligence Machine Learning Engineer information

See Boise, ID salary details

$30K

$122.6K

$184.2K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for artificial intelligence machine learning engineer in Boise, ID is $122,560.00, 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 an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

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

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

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

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

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

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

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Boise, ID look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Boise, ID are:

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

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

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Boise, ID as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $122,560 per year, or $58.9 per hour.

Intern - DRAM Process Integration

Micron Technology

Boise, ID • On-site

Internship

Medical, Dental, Vision, PTO

Posted 6 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 is a global leader in DRAM innovation, developing memory technologies that enable the next generation of computing, artificial intelligence, and data-driven applications. Within the Technology Development organization, the Process Integration team drives the development of future DRAM architectures by coordinating device, materials, and process innovations across multiple engineering fields. Team members work in a highly collaborative R&D environment to solve complex technical challenges and accelerate technology scaling.
As a Process Integration Engineer Intern, you will contribute to the development of next-generation DRAM memory technologies through multi-functional collaboration involving process integration, device engineering, materials development, and process architecture. This role requires strong technical expertise, analytical problem-solving skills, and the ability to coordinate activities across multiple engineering organizations to achieve technology achievements and product objectives.
Responsibilities
  • Define technology achievements, design rules, structural requirements, and electrical specifications for next-generation DRAM technologies while supporting achievement of program targets and timelines.
  • Collaborate with process development, simulation, process architecture, circuit design, and quality teams to ensure alignment with product and technology requirements.
  • Develop and maintain documentation related to process integration plans, technical risks, issue resolution, and characterization strategies.
  • Evaluate alternative device architectures, process enablers, and scaling approaches to support future technology development.
  • Leverage approved Artificial Intelligence (AI) and AI-Assisted tools to enhance technical analysis, data interpretation, productivity, and engineering decision-making.
Minimum Qualifications
  • Currently pursuing a Master of Science degree in Electrical Engineering, Microelectronics, or a related technical field, with an expected graduation date of September 2027 or later.
  • Demonstrated knowledge of semiconductor process integration, device physics, and technology scaling principles.
  • Experience using Design of Experiments (DOE), statistical analysis, and data-driven problem-solving methodologies.
  • Proven ability to identify and resolve complex technical challenges in multi-functional engineering environments.
  • Strong written and verbal communication skills with the ability to present technical information clearly and effectively.
Preferred Qualifications
  • Currently pursuing or enrolled in a PhD program in Electrical Engineering, Microelectronics, or a related technical field.
  • Experience providing technical leadership or coordinating engineering activities in a research and development environment.
  • Demonstrated ability to develop innovative solutions and adapt effectively within rapidly evolving technology programs.
  • Proficiency with Artificial Intelligence (AI), Generative AI, or AI-Enabled tools for technical research, engineering analysis, or productivity enhancement.
  • Experience applying statistical modeling, advanced analytics, or machine learning techniques to semiconductor process development challenges.

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.

What Micron Technology employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom