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

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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 Aug 10, 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 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 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 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 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 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.

More about Machine Learning Intern jobs
What cities near Huston, ID are hiring for Machine Learning Intern jobs? Cities near Huston, ID with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Huston, ID as of August 2026, with employment types broken down into 14% Internship, 28% Full Time, 29% Part Time, and 29% Temporary. Highlights an 100% In-person job distribution, with an average salary of $39,002 per year, or $18.8 per hour.

Intern - Process Development Engineer, 3D DRAM Dry Etch

Micron

Boise, ID • On-site

$14.25 - $19/hr

Full-time

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 156 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.

At Micron, we are transforming how the world uses information to enrich life through innovative memory and storage solutions. The DRAM Dry Etch Process Development team develops advanced plasma etch technologies that enable future memory scaling, improved device performance, and next-generation semiconductor manufacturing. Our engineers work closely with integration, equipment, and process teams to solve complex challenges and accelerate technology development.
As a DRAM Dry Etch Process Development Intern, you will gain hands-on experience developing and optimizing advanced semiconductor etch processes that support future DRAM technologies. Working under the mentorship of experienced engineers, you will complete a technical project focused on process development, experimentation, and data analysis in a collaborative research and development environment. At the conclusion of the internship, you will present project results and recommendations to technical teams and leadership.
Responsibilities
  • Research and develop innovative solutions that support next-generation memory technologies and advanced dry etch processes.
  • Design, implement, and analyze experiments to improve etch process performance, manufacturability, and product quality.
  • Perform statistical analysis of technology development and pilot manufacturing data to identify trends, process opportunities, and root causes.
  • Collaborate with process, equipment, and integration engineering teams to resolve technical challenges and drive process improvements.
  • Apply AI-enabled analysis tools, data-driven methodologies, or programming solutions to improve engineering efficiency and accelerate technical decision-making.
Minimum Qualifications
  • Currently pursuing an M.S. or Ph.D. in Materials Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, Physics, Chemistry, or a related technical field.
  • Must be enrolled in an academic program throughout the internship period.
  • Knowledge of dry etch semiconductor processing, plasma physics, or related semiconductor fabrication technologies.
  • Experience with experimental design, data analysis, statistical methods, or engineering research projects.
  • Strong analytical, problem-solving, written, and verbal communication skills.
Preferred Qualifications
  • Experience with semiconductor process development, process characterization, or advanced manufacturing environments.
  • Experience with programming, scripting, data analytics, or Leveraging AI to support engineering analysis and workflow optimization.
  • Familiarity with statistical analysis software, data visualization tools, Python, MATLAB, JMP, or similar platforms.
  • Experience conducting root-cause analysis, failure analysis, or process optimization projects.
  • Demonstrated ability to work independently, manage multiple priorities, and collaborate effectively within multi-functional teams.

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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