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Entry Level Machine Learning Engineer Jobs in Boise, ID

The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance ... Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment ...

New

The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance ... Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment ...

Intern - Wafer Bonding Process Development

Boise, ID · On-site

$14.25 - $19/hr

Knowledge of machine learning algorithms and their application to engineering or process development problems. * Experience applying Artificial Intelligence (AI) tools or AI-Assisted workflows to ...

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 ...

The position is an entry-level applications support function with process engineering and equipment ... Provide reactive technical support for customers including machine and process troubleshooting

Showing results 41-60

Entry Level Machine Learning Engineer information

See Boise, ID salary details

$28.6K

$66K

$112.3K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for entry level machine learning engineer in Boise, ID is $66,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $74,700.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

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 Entry Level Machine Learning Engineer jobs in Boise, ID?

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

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

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

Infographic showing various Entry Level Machine Learning Engineer job openings in Boise, ID as of August 2026, with employment types broken down into 4% Internship, 84% Full Time, and 12% Contract. Highlights an 74% In-person, 2% Hybrid, and 24% Remote job distribution, with an average salary of $66,016 per year, or $31.7 per hour.

Gas Systems Engineer - O&M

Micron

Boise, ID • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

New


Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

26th of 161 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.

Summary

The O&M Gas Systems Engineer supports the safe, reliable, and efficient operation of bulk and specialty gas delivery systems that enable semiconductor manufacturing. This role partners with Operations, Maintenance, Manufacturing, Safety, and Engineering teams to improve system reliability, troubleshoot complex equipment issues, drive continuous improvement initiatives, and support capital and operational projects while ensuring compliance with environmental, health, safety, and quality standards. The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance decision-making, optimize system performance, and improve operational efficiency.

Responsibilities
  • Support the operation, maintenance, and continuous improvement of bulk and specialty gas systems to ensure safe and reliable semiconductor manufacturing operations.
  • Analyze system performance data, identify improvement opportunities, troubleshoot equipment issues, and lead root cause investigations to improve reliability and reduce risk.
  • Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment failures, optimize maintenance strategies, and enhance operational performance.
  • Develop and implement digital solutions, dashboards, automated reporting, and data visualization tools that improve engineering efficiency and decision-making.
  • Ensure compliance with Micron safety, environmental, quality, and change management requirements while promoting a strong safety culture.
  • Partner with Operations, Maintenance, Manufacturing, and other stakeholders to resolve system issues, improve equipment performance, and support production goals.
  • Lead and support engineering projects including equipment upgrades, new installations, commissioning activities, and reliability improvements.
  • Develop and maintain engineering documentation, design standards, procedures, specifications, and preventive maintenance strategies.
  • Utilize engineering principles, TPM methodologies, and data-driven insights to drive cost savings, efficiency improvements, and operational excellence.
  • Provide technical guidance and support to cross-functional teams while effectively communicating project status, risks, recommendations, and data-driven conclusions.
Minimum Qualifications
  • Bachelor's degree in Engineering, Chemistry, Semiconductor Technology, or a related technical field, or equivalent combination of education and experience.
  • Strong analytical and troubleshooting skills with the ability to identify root causes and implement effective corrective actions.
  • Ability to work effectively in a cross-functional team environment and communicate technical information clearly to diverse audiences.
  • Experience using engineering data, schematics, technical documentation, and standard problem-solving methodologies.
  • Familiarity with data analytics, AI-assisted tools, or digital technologies used to support engineering, maintenance, or operational decision-making.
  • Demonstrated commitment to safety, quality, and continuous improvement.
Preferred Qualifications
  • Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments.
  • Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles.
  • Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance.
  • Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously.
  • Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies.
  • Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms.
  • Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making.

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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