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Machine Learning Intern Jobs in Boulder, CO (NOW HIRING)

ASL Student Intern

Denver, CO

$15.50 - $20.50/hr

Weare seeking a Student Intern in ASL Interpretation to support ourLanguage Servicesteam. This ... Learning & Development: Shadow professional interpreters, receive mentorship ...

Radiology Student Intern PRN

Denver, CO · On-site

$22.93 - $32.12/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Radiology Student Intern PRN Hourly Wage Estimate: $22.93 - $32.12 / hour Learn more about the ... As an Imaging Student Extern, you will build valuable hands-on experience by learning from ...

New

Radiology Student Intern PRN

Denver, CO · On-site

$22.93 - $32.12/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Radiology Student Intern PRN Hourly Wage Estimate: $22.93 - $32.12 / hour Learn more about the ... As an Imaging Student Extern, you will build valuable hands-on experience by learning from ...

New

Familiarity through former internships, coursework or research with machine learning or AI, APIs, backend development COMPENSATION $17-25/hour Note that interns do not qualify for benefits or equity ...

Intern

Loveland, CO

$15.50 - $20.50/hr

Intern Program(s): All State: Colorado Population Served: Children and Families Reports To ... Learning, utilizing and applying evidence-based practices with our families such as Trust Based ...

Showing results 21-40

Machine Learning Intern information

See Boulder, CO salary details

$26.4K

$44.2K

$91.3K

How much do machine learning intern jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning intern in Boulder, CO is $44,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,700.00 and $47,700.00 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 are the most commonly searched types of Machine Learning jobs in Boulder, CO?

The most popular types of Machine Learning jobs in Boulder, CO are:

What job categories do people searching Machine Learning Intern jobs in Boulder, CO look for?

The top searched job categories for Machine Learning Intern jobs in Boulder, CO are:

What cities near Boulder, CO are hiring for Machine Learning Intern jobs?

Cities near Boulder, CO with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Boulder, CO as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,163 per year, or $21.2 per hour.

Undergraduate/graduate intern - software and data infrastructure for autonomous thin film experiment

National Laboratory of the Rockies

Golden, CO • On-site

Other

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Job description

Posting Title
Undergraduate/graduate intern - software and data infrastructure for autonomous thin film experimentation (Year-Round)
Location
CO - Golden
Position Type
Intern (Fixed Term)
Hours Per Week
25
Working at NLR
NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.
Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
Job Description
NLR's Materials Design and Discovery group is seeking an undergraduate or graduate intern to support the development of digital infrastructure for autonomous semiconductor processing and characterization systems. In conjunction with the DOE's METALLIC platform (, we are developing a closed-loop autonomous experimentation platform that integrates scientific instrumentation, data management, artificial intelligence, and workflow orchestration to accelerate the discovery and optimization of advanced semiconductor thin films.
The successful candidate will work closely with a multi-disciplinary team to build the software and data infrastructure that enables autonomous operation of advanced semiconductor synthesis and characterization instruments.
Key responsibilities include
  • Develop and maintain Python software for scientific instrument control and laboratory automation.
  • Implement APIs, communication interfaces, and messaging systems connecting distributed experimental instruments and control computers.
  • Support real-time data exchange, data management, and provenance infrastructure for autonomous experimentation workflows.
  • Assist with integration, testing, debugging, deployment, and documentation of software systems.
  • Develop tools for monitoring, logging, and visualization of experimental data and system status.

Collaborate with multidisciplinary teams working in semiconductor processing, materials science, robotics, and artificial intelligence.
Basic Qualifications
Minimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution.
Post Undergraduate: Earned a bachelor's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution.
Post Graduate: Earned a master's degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution.
Please Note:
Applicants are responsible for uploading official or unofficial school transcripts, as part of the application process.
If selected for position, a letter of recommendation will be required as part of the hiring process.
Must meet educational requirements prior to employment start date.
* Must meet educational requirements prior to employment start date.
Additional Required Qualifications
  • Experience programming in Python.
  • Familiarity with software development practices, including version control (e.g., Git).
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a multidisciplinary research team.
  • Strong written and verbal communication skills.
  • Ability to quickly learn new technologies and experimental systems.

Preferred Qualifications
  • Experience developing software for hardware interfacing, automation, laboratory systems, or scientific instrumentation.
  • Experience with communication standards, protocols, and messaging technologies used for instrument integration and distributed systems (e.g., OPC UA, Modbus, MQTT, TCP/IP, SCPI).
  • Experience with databases, data pipelines, or data management systems.
  • Experience with machine learning, optimization, computer vision, or autonomous experimentation systems.
  • Previous experience working with scientific instrumentation, laboratory automation, or experimental research environments.
  • Interest in autonomous systems, scientific computing, robotics, or laboratory automation.

Job Application Submission Window
The anticipated closing window for application submission is up to 30 days and may be extended as needed.
Annual Salary Range (based on full-time 40 hours per week)
Job Profile: / Annual Salary Range: $34,800 - $55,700
NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits Summary
Benefits include medical, dental, and vision insurance; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.
* Based on eligibility rules
Badging Requirement
NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.
Drug Free Workplace
NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Submission Guidelines
Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Reasonable Accommodations
E-Verify For information about right to work, click here for English or here for Spanish.
E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.