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Machine Learning Engineer New Grad Jobs in Denver, CO

Owl AI

Machine Learning Engineer

Boulder, CO · On-site

$140 - $210/hr

... and engineering leadership to build the machine learning systems that power our live sports ... Continuously explore and adopt new models, techniques, and AI-assisted workflows to raise both ...

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

Thornton, 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 ...

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Showing results 21-40

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Denver, CO

Machine Learning Engineer New Grad information

See Denver, CO salary details

$32.4K

$132.5K

$199.2K

How much do machine learning engineer new grad jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning engineer new grad in Denver, CO is $132,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $159,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Denver, CO?

For Machine Learning Engineer New Grad jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer New Grad jobs in Denver, CO look for?

The top searched job categories for Machine Learning Engineer New Grad jobs in Denver, CO are:

What cities near Denver, CO are hiring for Machine Learning Engineer New Grad jobs?

Cities near Denver, CO with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Denver, CO as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $132,539 per year, or $63.7 per hour.

Machine Learning Engineer

Grey-Matters-Defense-Solutions

Centennial, CO • On-site

$154 - $195/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 21 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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