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Machine Learning Intern Jobs in Huston, ID (NOW HIRING)

Construction Intern

Meridian, ID · On-site

$14.25 - $18.75/hr

Under the direction of the area manager, the construction intern is primarily responsible for assisting the project manager and estimator in designated assignments and learning more about the ...

Construction Intern

Meridian, ID · On-site

$14.25 - $18.75/hr

Under the direction of the area manager, the construction intern is primarily responsible for assisting the project manager and estimator in designated assignments and learning more about the ...

2027 Intern - Technology

Meridian, ID · On-site

$14.25 - $18.75/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

2027 Intern - Technology

Meridian, ID

$14.25 - $18.75/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

2027 Intern - Technology

Nampa, ID

$13.25 - $17.75/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

2027 Intern - Technology

Nampa, ID · On-site

$13.25 - $17.75/hr

Consultants will start by learning a range of skills around data including e-discovery, digital forensics and case management. Advanced Analytics Researcher Intern Our advanced analytics researcher ...

As a Process Integration Engineer Intern, you will contribute to the development of next-generation ... Experience applying statistical modeling, advanced analytics, or machine learning techniques to ...

As a Process Integration Engineer Intern, you will contribute to the development of next-generation ... Experience applying statistical modeling, advanced analytics, or machine learning techniques to ...

Showing results 21-40

Machine Learning Intern information

See Huston, ID salary details

$23.4K

$39K

$80.6K

How much do machine learning intern jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning intern in Huston, ID is $39,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,800.00 and $42,100.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What job categories do people searching Machine Learning Intern jobs in Huston, ID look for?

The top searched job categories for Machine Learning Intern jobs in Huston, ID are:

What cities near Huston, ID are hiring for Machine Learning Intern jobs?

Cities near Huston, ID with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Huston, ID as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,002 per year, or $18.8 per hour.

2027 Summer Intern: Advanced Spectroscopy and Nanoscale Materials Characterization

Micron

Boise, ID

Full-time

Medical, Dental, Vision, PTO

Posted 9 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 160 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.

Department Introduction

Micron's Chemistry Lab plays a critical role in advancing semiconductor technology by developing analytical methods that support materials understanding, process development, defect characterization, and next-generation memory innovation. The team applies advanced chemical, optical, and surface characterization techniques to solve complex materials challenges across semiconductor manufacturing and research.

Position Overview

We are seeking a highly motivated summer intern to contribute to advanced spectroscopy and nanoscale characterization projects focused on semiconductor thin films, surfaces, interfaces, and process-induced material changes. Working alongside scientists and engineers in Corporate Labs, the intern will develop and apply spectroscopy-based characterization methods, analyze complex materials datasets, and gain experience in experimental design, data analytics, and semiconductor materials research within an industrial laboratory environment.

Responsibilities
  • Conduct experiments using advanced spectroscopy and microscopy techniques to characterize semiconductor thin films, surfaces, interfaces, and related materials.
  • Collect, process, analyze, and interpret spectroscopy data, including photoluminescence, fluorescence lifetime, Raman, and AFM-IR datasets, and develop visualization workflows to communicate results.
  • Correlate spectroscopic signatures with material properties, process conditions, surface states, and defect behavior while collaborating with scientists, engineers, and cross-functional partners.
  • Use AI-Enabled tools, where appropriate, to support literature reviews, data analysis, coding, technical documentation, and presentation preparation.
  • Maintain laboratory documentation and safety standards while delivering a validated characterization workflow and presenting project results through a final technical report and presentation.
Minimum Qualifications
  • Currently pursuing a Bachelor's degree (junior standing or above), Master's degree, or Ph.D. in Chemistry, Materials Science, Physics, Chemical Engineering, Electrical Engineering, Optical Engineering, or a related field.
  • Basic knowledge of spectroscopy, microscopy, materials characterization, or semiconductor materials.
  • Hands-on experience with at least one analytical technique such as fluorescence spectroscopy, Raman spectroscopy, FTIR, or a related characterization method.
  • Experience using data analysis tools such as Python, MATLAB, Origin, or similar software.
  • Strong analytical, problem-solving, communication, and teamwork skills.
Preferred Qualifications
  • Experience with photoluminescence, Raman, AFM-IR, FTIR, or other advanced spectroscopy techniques.
  • Research experience involving semiconductor materials, thin films, surfaces, or interfaces.
  • Experience with data analysis, curve fitting, image analysis, machine learning, or related computational methods.
  • Experience applying AI-Enabled tools to scientific research, data analysis, technical documentation, or workflow optimization.
  • Demonstrated curiosity, creativity, initiative, and strong technical presentation skills.

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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