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Deep Learning Intern Jobs in Colorado (NOW HIRING)

Sony

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

WellPower - All Jobs

ASL Student Intern

Denver, CO

$15.50 - $20.50/hr

Integrity. We operate from a deep foundation of ethical, accountable practices in all we do ... Learning & Development: Shadow professional interpreters, receive mentorship ...

Sony

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

Responsibilities As a research intern, you will investigate and apply novel algorithms related to ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

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All JobsDeep Learning Intern JobsDeep Learning Intern Jobs in Colorado

Deep Learning Intern information

See Colorado salary details

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How much do deep learning intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for deep learning intern in Colorado is $17.91, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.24 per hour, depending on experience, location, and employer.

What does a deep learning intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.

What skills and qualifications are needed to thrive as a deep learning intern?

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

What types of projects can a deep learning intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

What are the most commonly searched types of Deep Learning jobs in Colorado?

The most popular types of Deep Learning jobs in Colorado are:

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

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

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

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

What cities in Colorado are hiring for Deep Learning Intern jobs?

Cities in Colorado with the most Deep Learning Intern job openings:

Deep Learning Intern jobs near you
Infographic showing various Deep Learning 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 $37,261 per year, or $17.9 per hour.

2027 Machine Learning Summer Internship

Advanced Space

Westminster, CO

$28 - $37/hr

Temporary, Internship

Posted 9 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 CAPSTONE 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. 

Apply