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Machine Learning Research Intern Jobs in Colorado

Crowe LLP

Machine Learning Intern

Denver, CO · On-site

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage ... research and exploration, development, deployment, support Using correct model selection and ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

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All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Colorado

Machine Learning Research Intern information

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$7

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$54

How much do machine learning research intern jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning research intern in Colorado is $21.61, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $25.10 per hour, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Colorado?

For Machine Learning Research Intern jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Machine Learning Research Intern jobs in Colorado look for?

The top searched job categories for Machine Learning Research Intern jobs in Colorado are:

What cities in Colorado are hiring for Machine Learning Research Intern jobs?

Cities in Colorado with the most Machine Learning Research Intern job openings:

Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,939 per year, or $21.6 per hour.

2027 Machine Learning Summer Internship with Security Clearance

Westminster, CO • On-site

Advanced Space
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Advanced Spaceexternal

$28 - $37/hr

Other

Posted 16 days ago

Job description

Advanced Space | 2027 Summer Internship | Onsite We're going to the Moon. Think you've got what it takes? About the Role At Advanced Space, we're enabling humanity's return to the Moon and building the technologies that will take us to Mars and beyond. We're looking for a 2027 Machine Learning Summer Intern to join our team and help push the state of the art in aerospace applications. As a Machine Learning Intern, you'll work alongside experienced technical staff who will provide mentorship and guidance throughout your internship. You'll gain hands-on experience designing, developing, testing, and applying machine learning models to solve complex engineering challenges supporting the future of space exploration. This internship is ideal for students passionate about artificial intelligence, machine learning, aerospace applications, and applied research. You'll have the opportunity to work on meaningful projects while collaborating with engineers and researchers developing innovative solutions for real space missions. About Advanced Space Advanced Space exists to enable the sustainable exploration, development, and settlement of space through innovative software, mission services, and technology solutions. As the owner and operator of NASA's CAPSTONEâ„¢ mission and the Prime Contractor for AFRL's Oracle mission, we're helping shape the future of cislunar exploration while supporting commercial, civil, and national security customers. Our team combines deep technical expertise with an entrepreneurial mindset. We move quickly, collaborate across disciplines, and empower every engineer to make meaningful contributions. If you're passionate about solving challenging problems and seeing your work fly in space, you'll fit right in. What You'll Actually Do Develop machine learning solutions for aerospace applications. Research, implement, and evaluate state-of-the-art machine learning algorithms and techniques to solve challenging engineering problems. Build and test ML models. Design, develop, and improve machine learning models and systems supporting applications such as: * Spacecraft autonomy * Anomaly detection * Natural language processing * Uncertainty quantification * Multimodal signal detection Analyze data and optimize performance. Perform data preprocessing, feature engineering, model evaluation, and optimization to improve the performance, scalability, and reliability of ML solutions. Collaborate with engineering teams. Work alongside aerospace and software engineers to integrate machine learning solutions into mission-focused applications. Share your research and findings. Document technical work and present project results through reports, presentations, and discussions with the technical team. Who Thrives Here * You are currently pursuing a degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. * You have experience programming in Python and working with data processing libraries such as Pandas, NumPy, or Scikit-learn. * You have experience with machine learning frameworks such as TensorFlow or PyTorch. * You understand foundational machine learning concepts, including supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction. * You are familiar with software development best practices, including Git version control. * You enjoy solving complex technical problems and conducting applied research. * You communicate technical concepts clearly and collaborate effectively with teammates. Bonus Points if You Have Experience With * CUDA C/C++ or GPU computing * High-performance or scientific computing * Natural language processing * Computer vision * Aerospace engineering concepts such as nonlinear estimation, optimization, or control theory * Machine learning applied to engineering or scientific problems Success is Measured By * Developing and evaluating machine learning solutions for real aerospace challenges. * Applying ML techniques to meaningful mission-focused projects. * Collaborating effectively with engineers and technical staff. * Communicating research findings clearly through documentation and presentations. * Building technical skills through mentorship and hands-on experience. Why Join Advanced Space * Gain hands-on experience applying machine learning to real space missions. * Work alongside engineers and researchers solving complex aerospace challenges. * Contribute to innovative projects supporting missions to the Moon and beyond. * Receive mentorship and guidance from experienced technical staff. * Be part of a growing company where your contributions directly support mission success. Compensation & Benefits * Competitive internship compensation: $28-$37/hour * Housing stipend * Mentorship and guidance from technical staff * Opportunities to contribute to research projects directly tied to active space missions * Collaborative work environment at our Westminster, Colorado headquarters Advanced Space is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. Create a Job Alert Interested in building your career at Advanced Space? Get future opportunities sent straight to your email. Create alert

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