ZipRecruiter

Log In

1

Google Machine Learning Engineer Jobs in Colorado

Capital Rx

Senior Machine Learning Engineer II

Denver, CO · On-site

$107K - $147K/yr

... Machine Learning Engineer II. We are looking for an experienced software engineer with machine ... Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience ...

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 ... Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience ...

AppFolio

CO

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML ... Maintain reliable, multi-provider LLM access across Google, OpenAI, and Anthropic with sensible ...

AppFolio

CO

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML ... Maintain reliable, multi-provider LLM access across Google, OpenAI, and Anthropic with sensible ...

previous pagenext page

Showing results 21-40

All JobsGoogle Machine Learning Engineer JobsGoogle Machine Learning Engineer Jobs in Colorado

Google Machine Learning Engineer information

See Colorado salary details

$33.1K

$135.4K

$203.5K

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

As of Sep 13, 2026, the average yearly pay for google machine learning engineer in Colorado is $135,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $163,000.00 per year, depending on experience, location, and employer.

What is a Google machine learning engineer?

A Google Machine Learning Engineer designs, builds, and optimizes machine learning models to improve Google's products and services. They work with large datasets, implement algorithms, and deploy scalable AI systems. Collaboration with data scientists, software engineers, and product teams is essential to integrate models into real-world applications. Strong knowledge of Python, TensorFlow, and cloud computing is often required. This role focuses on both research and practical implementation to enhance automation and decision-making across Google products.

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

To thrive as a Google Machine Learning Engineer, you need strong expertise in mathematics, statistics, programming (especially Python or C++), and a solid background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud), and advanced certifications can be highly beneficial. Excellent problem-solving, teamwork, and communication skills help you collaborate across teams and explain complex models to stakeholders. These skills are essential to driving innovation, building scalable solutions, and ensuring impactful results in a fast-paced, research-driven environment.

What types of projects and collaborations can Google machine learning engineers expect to be involved in?

Google Machine Learning Engineers often contribute to diverse projects, such as developing next-generation search algorithms, optimizing user experiences across products, or creating scalable machine learning systems for internal and external clients. The role frequently involves collaborating with data scientists, product managers, software engineers, and researchers to define project goals and deliver impactful solutions. You can expect to participate in code reviews, prototype new models, and provide expert input during technical discussions. This collaborative, interdisciplinary approach ensures innovative outcomes and offers ongoing opportunities for professional growth and skill development.

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

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

What are popular job titles related to Google Machine Learning Engineer jobs in Colorado?

For Google Machine Learning Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Google Machine Learning Engineer jobs in Colorado look for?

The top searched job categories for Google Machine Learning Engineer jobs in Colorado are:

Google Machine Learning Engineer jobs near you
Infographic showing various Google Machine Learning Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $135,403 per year, or $65.1 per hour.

Machine Learning Engineer

Centennial, CO • On-site

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

$70 - $193.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 hours 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: [email protected]
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.

Apply