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Internship Full Stack Machine Learning Engineer Jobs in Colorado

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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All JobsFull Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer Jobs in Colorado

Internship Full Stack Machine Learning Engineer information

What is an internship full stack machine learning engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What do internship full stack machine learning engineers do?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What skills and qualifications are needed to thrive as an internship full stack machine learning engineer?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Colorado?

The most popular types of Full Stack Machine Learning Engineer jobs in Colorado are:

What cities in Colorado are hiring for Internship Full Stack Machine Learning Engineer jobs?

Cities in Colorado with the most Internship Full Stack Machine Learning Engineer job openings:

Internship Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer

Centennial, CO • On-site

Grey-Matters-Defense-Solutions
See more jobs at Grey-Matters-Defense-Solutionsexternal

$154K - $195K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago

Key responsibilities

  • Support end-to-end model development, including architecture selection, training, evaluation, and iteration against mission problems.

  • Design and run experiments such as baselines, ablations, and held-out evaluations, with clear reporting to support program decisions.

  • Package and deploy models into operational environments and improve them through continual data acquisition.

Job description

Job Title: Machine Learning Engineer. Clearance Required: TS/SCI. Location: Centennial, CO | Hybrid.

About Us

Grey Matters Defense Solutions, LLC is a specialized firm in software development, data analytics, and advanced remote sensing technologies, tailored to meet the complex demands of the defense and intelligence sectors. Our team spans senior-level experts from organizations such as the Defense Intelligence Agency (DIA), National Reconnaissance Office (NRO), Defense Advanced Research Projects Agency (DARPA), and the U.S. Armed Forces, as well as recent graduates and military veterans. By integrating the skills of subject matter experts, analysts, software engineers, and data scientists, we deliver unique artificial intelligence algorithms and applications for the defense and intelligence community.

About the Role

As a Machine Learning Engineer at Grey Matters, you will solve real-world problems relevant to the Intelligence Community (IC) and Department of Defense (DoD) using a combination of FOSS, GOTS, and COTS software and hardware. You will contribute to the full AI development lifecycle, from research and feasibility prototyping through integration, development, and product deployment.

Key Responsibilities
  • Support end-to-end model development: architecture selection, training, evaluation, and iteration against mission problems, from feasibility prototype to production candidate
  • Design and run rigorous experiments: baselines, ablations, and held-out evaluation, with clear reporting that supports program decisions
  • Package and deploy models into operational environments, and improve them through continual data acquisition
  • Collaborate with data engineers to support data selection, pre-processing, curation, and extract/transform/load (ETL) of relevant datasets for AI/ML development
Required Qualifications
  • U.S. citizenship
  • Active Top Secret security clearance (SSBI/Tier 5 investigation)
  • Bachelor's degree in a related technical field
  • 7+ years of professional experience with Python
  • 4+ years of hands-on experience with PyTorch or another ML/DL framework
  • Extensive experience training customized state-of-the-art AI models on real-world datasets
  • Strong understanding of data structures, numerical methods, and algorithm design
  • Experience developing software in a Unix/Linux environment
  • Excellent analytical and problem-solving skills
  • Ability to work under minimal supervision
  • Strong verbal and written communication skills
Preferred Qualifications
  • Knowledge of and experience with self-supervised pretraining and downstream adaptation, transfer learning, generative models, and transformers
  • Multi-GPU and distributed training experience (PyTorch DDP or FSDP), including shared cluster resources (Slurm, Kubernetes, Run:ai)
  • Experience with experiment tracking and data/model versioning for reproducibility (MLflow, Weights & Biases, DVC)
  • Experience across deep learning domains, including Natural Language Processing (NLP), computer vision, and time series data
  • Familiarity with other ML/DL frameworks and libraries (PyTorch Lightning, TensorFlow, Keras, fastai, scikit-learn, etc.)
  • Comfort working in restricted or air-gapped development environments
  • Master's or doctoral degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Salary Range: $154,000 - $195,000

Benefits

Grey Matters Defense Solutions, LLC offer a comprehensive benefits package includingmedical, dental, vision, life insurance, short-term, long-term disability, and voluntary benefits such as accident, hospital indemnity, and wellness benefits.

Additional Benefits
  • 25% (of salary) employer contribution distributedmonthly to your SEP IRA
  • Individual Benefit Account 25% (of salaryto pay for medical insurance premiums and funded time off)
  • Employee assistance program
  • Employee discount
  • Health savings account
  • Referral program

Visit us at Grey Matters Defense Solutions. https://www.linkedin.com/company/grey-matters-defense-solutions/

“Know Your Rights: Workplace Discrimination is Illegal”

Questions contact: jenny.rosenberg@greymattersdefense.com

All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Grey Matters Defense Solutions, LLC participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

Grey Matters Defense Solutions, LLC complies with the Colorado Artificial Intelligence Act (CAIA) and maintains policies, controls, and oversight practices designed to mitigate algorithmic discrimination, promote transparency, and ensure responsible use of AI systems in accordance with Colorado law.

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