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

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 ...

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 ...

... machine learning/JMP Scripting. 4. Understanding of the process flow related to area equipment, SPC principles, and recipe management. 5. Understanding of physics, area chemistry, and algebraic ...

... machine learning/JMP Scripting. 4. Understanding of the process flow related to area equipment, SPC principles, and recipe management. 5. Understanding of physics, area chemistry, and algebraic ...

... 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 ...

... 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 ...

Position requires: 1. Programming in Python and libraries in the Python ecosystem 2. Mathplotlib ... and machine learning techniques As a world leader in the semiconductor industry, Micron is ...

The Critical Facility Engineer will be a part of the Facility Operations team responsible for ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Experience utilizing AI-enabled tools (such as Microsoft Copilot, machine learning, data analytics, or automation platforms) to improve productivity, data analysis, problem solving, and engineering ...

Senior Analytics Engineer

Boise, ID · On-site

$99K - $136K/yr

About the role We are seeking a Senior Data Engineer, Analytics to play a pivotal role in shaping ... You actively seek ways to leverage generative AI and machine learning in data transformation ...

Strong data science skills applied to TEM workflows (e.g., data processing, automation, modeling, or machine-learning-based analysis) with proficient programming skills using GMS scripts and/or ...

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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 Jul 24, 2026, the average yearly pay for 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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.

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 job categories do people searching Machine Learning Engineer jobs in Boise, ID look for? The top searched job categories for Machine Learning Engineer jobs in Boise, ID 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:
Infographic showing various Machine Learning Engineer job openings in Boise, ID as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,560 per year, or $58.9 per hour.
AMHS Robotics Engineer

Full-time

Medical, Dental, Vision, PTO

Posted 22 days ago


Micron Technology rating

8.8

Company rating: 8.8 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

11th of 144 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.

Our Advanced Manufacturing and Handling Systems (AMHS) team is at the forefront of revolutionizing factory automation. As an AMHS Robotics Engineer, you will have the outstanding chance to create, deploy, and improve modern autonomous systems that drive our manufacturing operations. This role is perfect for someone passionate about hardware infrastructure, mechanical and electrical systems, and the integration of advanced robotics technologies.

Responsibilities:

  • Own the reliability, performance, and lifecycle management of autonomous hardware systems.

  • Support the installation, startup, commissioning, qualification, and operational readiness of OHT systems, AMRs, robotic platforms, robotic dogs, and future humanoid robotic solutions.

  • Diagnose and resolve complex mechanical, electrical, controls, and software integration issues.

  • Lead root cause investigations and corrective actions using structured problem-solving methodologies.

  • Review, experiment with, and adopt emerging autonomous technologies to boost system performance and reliability.

Minimum Qualifications:
  • Bachelor's degree or equivalent experience in Mechanical Engineering, Electrical Engineering, Mechatronics Engineering, Robotics Engineering, Computer Engineering, or a related technical field preferred.

  • Equivalent military experience, technical certifications, apprenticeship programs, or demonstrated industry experience will be considered in lieu of a degree.

  • Over 3 years of experience providing support for automation equipment, robotics, manufacturing equipment, material handling systems, or autonomous technologies.

  • Strong troubleshooting and problem-solving experience in technical environments.

Preferred Qualifications:

  • Over 5 years of experience in automation, robotics, material handling, semiconductor, logistics, or advanced manufacturing operations.

  • Experience designing, deploying, or sustaining autonomous robotic solutions in operational environments.

  • Experience with factory automation and autonomous transportation systems.

  • Experience applying AI, advanced analytics, or machine learning methods to equipment performance and reliability 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.


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