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Machine Learning Engineer Intern Jobs in Conifer, CO

Bespoke Labs

Machine Learning Engineer

Aurora, CO

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Aurora, CO · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Denver, CO

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Bespoke Labs

Machine Learning Engineer

Denver, CO · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Crowe LLP

Machine Learning Engineer

Denver, CO · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Capital Rx

Senior Machine Learning Engineer II

Denver, CO · On-site

$107K - $147K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning ...

Capital Rx

Senior Machine Learning Engineer I

Denver, CO · On-site

$126K - $166K/yr

We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107K - $147K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are ...

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. Modeling Understanding how to frame business problems as data science problems Navigating the full data ...

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Showing results 21-40

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Conifer, CO

Machine Learning Engineer Intern information

See Conifer, CO salary details

$25.9K

$43.3K

$89.4K

How much do machine learning engineer intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer intern in Conifer, CO is $43,262.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $46,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

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

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

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Conifer, CO as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $43,262 per year, or $20.8 per hour.

Machine Learning Engineer

Centennial, CO • On-site

Grey Matters Defense Solutions
11 - 50 employees
Learn more about Grey Matters Defense Solutionsexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 26 days ago

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:  $70.00 - $193.75 an hour

Grey Matters Defense Solutions, LLC offer a comprehensive benefits package including medical, 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 distributed monthly to your SEP IRA
  • Individual Benefit Account 25% (of salary to 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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