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Machine Learning Jobs in Colorado (NOW HIRING)

True Anomaly

Senior Machine Learning Engineer

Denver, CO · On-site

$155K - $260K/yr

YOUR MISSION As a member of the Applied Algorithms and Autonomy team, you will design, build, and deploy core machine learning and AI capabilities for True Anomaly. You will work with a talented ...

AppFolio

CO · On-site

Who We Are Looking For We're seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X, and to drive AppFolio's long-term autonomous Real ...

Trimble

Machine Learning Data Scientist

Westminster, CO · On-site

$122K - $165K/yr

In this role, you will be at the forefront of developing predictive machine learning models, directly influencing customer retention for our SketchUp product and shaping the future of how we ...

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How much do machine learning jobs pay per year?

As of Jun 5, 2026, the average yearly pay for machine learning in Colorado is $44,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What are the most commonly searched types of Machine Learning jobs in Colorado? The most popular types of Machine Learning jobs in Colorado are:
What are popular job titles related to Machine Learning jobs in Colorado? For Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Colorado look for? The top searched job categories for Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Machine Learning jobs? Cities in Colorado with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Colorado as of May 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $44,777 per year, or $21.5 per hour.

Senior Machine Learning Engineer

True Anomaly

Denver, CO • On-site

$155K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It's the people. Our team is our competitive advantage and we are better together.

YOUR MISSION
As a member of the Applied Algorithms and Autonomy team, you will design, build, and deploy core machine learning and AI capabilities for True Anomaly. You will work with a talented cross-functional team to advance technology at the intersection of artificial intelligence, machine learning, and data-driven decision-making. This will involve hands-on development across areas including object classification and discrimination, anomaly detection, and threat assessment. You are a first-principles engineer who takes ownership of the systems you build and delivers results.
RESPONSIBILITIES
  • Design, implement, and test ML/AI models that support threat assessment, object discrimination, and decision-making in operationally relevant environments
  • Own the full ML development lifecycle - from data ingestion and feature engineering through model training, evaluation, and production deployment
  • Collaborate with cross-functional teams to translate operational requirements into robust, production-ready ML capabilities
  • Establish and maintain rigorous model evaluation practices to ensure reliability and performance in real-world conditions
  • Write clean, well-documented, and testable code in support of AI/ML capabilities

QUALIFICATIONS
  • Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline
  • Proficient in Python
  • Solid understanding of statistics, probability, and optimization
  • Experience with ML frameworks such as PyTorch, TensorFlow, or JAX
  • 4+ years of experience designing, training, and deploying ML models in real-world systems
  • Demonstrated ability to work in a multidisciplinary team and solve complex problems from first principles
  • Passion for spaceflight and advancing capabilities related to space domain awareness and space security

PREFERRED SKILLS AND EXPERIENCE
  • Master's or PhD in machine learning, computer science, data science, or a related discipline
  • Strong background in one of the following core ML disciplines:
    • Anomaly & outlier detection: statistical, density-based, and deep learning approaches
    • Object discrimination: multi-class and fine-grained classification, metric learning, few-shot learning, evidential reasoning and Dempster-Shafer Theory (DST) for belief combination and conflict resolution under uncertain or incomplete sensor data
    • Unsupervised learning: clustering, dimensionality reduction, generative modeling
    • Sequential and temporal modeling: time-series analysis and sequential modeling
  • Experience deploying models to edge or resource-constrained environments with real-time processing requirements
  • Familiarity with space domain data such as space object catalog data, observational data, or RSO characterization
  • Experience with MLOps tooling: experiment tracking (MLflow, W&B), model versioning, CI/CD for ML pipelines
  • Background in model interpretability, uncertainty quantification, or safety-critical ML validation

COMPENSATION
  • Base Salary: $155,000 - $260,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
ADDITIONAL REQUIREMENTS
  • Work Location- this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
  • Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
  • Physical demands-the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.

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