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Generative Ai Engineer Internship Jobs in Colorado

Sierra Nevada Corporation

Sr AI/ML Engineer

Englewood, CO · On-site

$143.49 - $197.29/hr

Experience designing and optimizing generative AI models including transformers and GANs ... Advanced proficiency in GPU programming, parallel/distributed computing, and optimizing ML ...

New

Sierra Nevada Corporation

AI/ML Engineer III

Englewood, CO · On-site

$124.77 - $171.56/hr

As an AI/ML Engineer III, you will be the primary driver for AI/ML projects focused on autonomy ... generative AI algorithms. * Architect scalable AI/ML systems that integrate seamlessly with ...

New

Connect for Health Colorado

AI Developer/Engineer

Denver, CO · On-site +1

$111K - $145K/yr

... Engineer. Connect for Health Colorado is a public, non-profit entity established by the Colorado ... Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work ...

Connect for Health Colorado

AI Developer/Engineer

Denver, CO · On-site

$111K - $145K/yr

... Engineer. Connect for Health Colorado is a public, non-profit entity established by the Colorado ... Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Experience designing and optimizing generative AI models including transformers and GANs.

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Generative Ai Engineer Internship information

What is a generative AI engineer internship?

A Generative AI Engineer Internship is a temporary position where interns work on developing and optimizing AI models that generate content, such as text, images, or code. Interns typically assist in training, fine-tuning, and testing deep learning models, often using frameworks like TensorFlow or PyTorch. They may also work with large datasets, implement prompt engineering, and collaborate with researchers or engineers. This role provides hands-on experience in machine learning, model deployment, and AI ethics, helping interns build expertise in the field.

What kinds of projects or tasks do generative AI engineer interns typically work on during their internship?

Generative AI Engineer Interns usually contribute to projects involving model architecture development, data preprocessing, and evaluation of generative algorithms for tasks like text, image, or audio synthesis. Interns often collaborate closely with senior engineers and data scientists, participate in code reviews, and assist in optimizing model performance or preparing proofs of concept for new generative applications. You may also be involved in researching state-of-the-art methods and presenting your findings to the team. These experiences offer valuable hands-on exposure and are designed to prepare you for a future full-time role in AI engineering.

What are the key skills and qualifications needed to thrive in the generative AI engineer internship position, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, deep learning frameworks, and experience with programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and version control systems is often expected, and relevant coursework or certifications in AI or data science are advantageous. Strong problem-solving abilities, communication skills, and eagerness to learn help distinguish top candidates in collaborative, fast-paced environments. These skills are vital for effectively developing, testing, and iterating on generative models that address real-world challenges.

What are the most commonly searched types of Generative Ai Engineer jobs in Colorado?

The most popular types of Generative Ai Engineer jobs in Colorado are:

What are popular job titles related to Generative Ai Engineer Internship jobs in Colorado?

For Generative Ai Engineer Internship jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer Internship jobs in Colorado look for?

The top searched job categories for Generative Ai Engineer Internship jobs in Colorado are:

Generative Ai Engineer Internship jobs near you
Infographic showing various Generative Ai Engineer Internship job openings in Colorado as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI/ML Engineer III

Sierra Nevada Corporation

Highlands Ranch, CO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

17th of 72 rated aerospace companies

Job description

The AI/ML Engineer III is a mid-level technical position that requires advanced expertise in designing, developing, and deploying machine learning systems for aerospace and defense applications. In this role, you will lead the creation of cutting-edge AI solutions for complex problems, such as autonomous navigation, sensor fusion, and real-time decision-making. You will also mentor junior engineers, manage key projects, and contribute to strategic decision-making within AI/ML development efforts. Your work will directly impact mission-critical systems and next-generation technologies.
As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.
Responsibilities:
  • Lead the design and development of advanced machine learning models, including deep neural networks, reinforcement learning systems, and generative AI algorithms, to solve complex problems.
  • Architect scalable AI/ML systems that can integrate seamlessly with existing software and hardware platforms. Provide guidance on the selection of tools, frameworks, and infrastructure.
  • Collaborate with systems engineers, hardware teams, and data scientists to align AI/ML solutions with mission-specific requirements and constraints.
  • Manage AI/ML projects, including scoping, resource allocation, and timeline management, ensuring that deliverables meet quality and performance expectations.
  • Develop and oversee robust validation and testing frameworks to ensure that AI/ML models meet performance, safety, and compliance standards in real-world scenarios.
  • Mentor junior engineers, providing technical guidance and fostering a collaborative, innovative team environment.
  • Stay current with emerging AI/ML technologies and propose innovative solutions to address new and existing challenges in the aerospace and defense domain.
  • Communicate technical concepts, project progress, and outcomes to stakeholders, including leadership and external partners, in a clear and concise manner.
  • Independently train, fine-tune, and optimize advanced AI architectures (including transformers) for complex applications.
  • Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to solve domain-specific challenges.
  • Lead the development and integration of signal processing, computer vision, and planning algorithms to advance autonomous system functionality.
  • Design and execute large-scale simulations and modeling of AI/ML systems, ensuring scalability, performance, and robustness on CPU/GPU platforms.
  • Lead rigorous validation and verification activities, ensuring deliverables meet performance, safety, and reliability requirements.

Qualifications You Must Have:
  • Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
  • 6+ years of experience in a related field.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 9 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Proficient in machine learning frameworks (e.g., TensorFlow, PyTorch) and skilled in implementing advanced AI/ML techniques, such as supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic), as well as working with generative AI models (e.g., transformers).
  • Proficient in developing, deploying, and optimizing AI/ML models, including ANNs, CNNs, and RNNs, for production applications. Contributed to the design and scaling of systems for larger datasets or environments with moderate complexity.
  • Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI/ML systems.
  • Demonstrated experience leading teams or projects, including mentoring junior staff.
  • Proven track record of deploying AI/ML models in production environments and optimizing them for real-world use cases.
  • Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications

Qualifications We Prefer:
  • Master's degree in Artificial Intelligence, Machine Learning, or related field.
  • Experience leading teams or projects in aerospace and defense industries.
  • Familiarity with cybersecurity and regulatory requirements.
  • Proficient in Agile or DevOps workflows; active participant in iterative ML software development.
  • Practical experience designing and implementing advanced ML techniques, such as clustering, dimensionality reduction, or generative modeling.
  • Hands-on experience with GPU programming and using high-performance computing systems for ML workloads.
  • Experience with at least one reinforcement learning or generative AI model (e.g., implementing GANs or Transformers).
  • Able to analyze large-scale, heterogeneous datasets and apply advanced statistical and ML methods to real-world problems.
  • Experience translating mission objectives into actionable system requirements, including HMI scenarios.
  • Familiarity with hardware acceleration (e.g., CUDA, TensorRT) and introductory knowledge of edge AI or XAI.

Essential Functions:
  • Ability to lead and manage complex AI/ML projects.
  • Travel occasionally to testing sites, customer locations, or conferences (up to 10-20%).
  • Work in a hybrid environment, managing cross-functional teams and high-priority deliverables.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.
Estimated Starting Salary Range: $124,771.42 - $171,560.71. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.
SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.
IMPORTANT NOTICE:
Learn more about the background check process for Security Clearances.
SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!
SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.

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