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Associate Machine Learning Jobs in Colorado (NOW HIRING)

Accenture

Lead AI / ML Engineer

Denver, CO · On-site

$105K - $139K/yr

... If Associate's Degree, must have minimum 6 years work experience) Minimum of 6 years of experience in the following: * Developing and deploying machine learning models and AI solutions. At least 2 ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations ...

Ibotta, Inc

Associate Decision Scientist

Denver, CO · On-site

$69K - $80K/yr

We leverage the latest developments and best practices in data analysis, testing methodologies, statistics, and machine learning to drive value for Ibotta. As an Associate Decision Scientist, you ...

New

Agile Defense

Data Scientist

Colorado Springs, CO · On-site

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and ... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ...

University of Colorado

Postdoctoral Associate

Boulder, CO · On-site

$67K - $74K/yr

Job Summary The Department of Physics invites applications for a PostDoctoral Associate! The ... Experience or interest in firmware and/or machine learning is highly desirable. Primary locations ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Colorado

Associate Machine Learning information

See Colorado salary details

$22.8K

$119.8K

$293.7K

How much do associate machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for associate machine learning in Colorado is $119,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,100.00 and $166,100.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
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 Associate Machine Learning jobs in Colorado? For Associate Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Colorado look for? The top searched job categories for Associate Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Associate Machine Learning jobs? Cities in Colorado with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you

Research Associates - National Security Initiatives

University of Colorado Boulder

Boulder, CO • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 19 days ago

University Of Colorado Boulder rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

142nd of 617 rated colleges and universities

Job description

Requisition Number:

72581

Location:

Boulder, Colorado

City

Boulder

State

Colorado

Employment Type:

Research Faculty

Schedule:

Full-Time

Posting Close Date:

23-Dec-2026

Date Posted:

22-Jun-2026
Close All
Job Summary

The Center for National Security Initiatives at CU Boulder is encouraging applications for Postdoctoral Associates, Research Associates and Senior Research Associates in multiple domains, who will support the growth of the campus's National Security research enterprise. These positions will report to leadership within the Center for National Security Initiatives (NSI), within the Research & Innovation Office (RIO). You will be responsible for developing groundbreaking research associated with the National Security enterprise, identifying new sponsored research opportunities with Department of Defense (DoD) and Intelligence Community (IC) partners, and preparing and executing strategic proposals in collaboration with other CU Boulder faculty and NSI researchers. Candidates will be focused on strategic development of a nationally recognized research program, with an emphasis on applied research in the National Security space. New positions are available in the following focus areas:

Autonomous Systems: Requires expertise relevant to the areas of assured algorithms, control theory, computer vision, artificial intelligence (AI), and machine learning (ML). The candidate will address challenges including swarming, networked autonomy, human-machine teaming, and perception and localization.

Cybersecurity: Requires applied research expertise associated with the design, attack, and defense of cyber systems, such as networks, information systems, AI/ML and information/data analytics, computer architecture, human-machine teaming and automation, applied cryptology, computer aided design (CAD) of digital and analog devices/circuits, and semiconductor materials, fabrication, and devices. The candidate will develop solutions focused on ensuring the confidentiality, integrity, and availability of information stored on and transmitted across U.S. space assets, critical infrastructure, and global communications systems.

Geospatial Data Analytics: Requires expertise in applying analytics to terrestrial and space data sets, including fusing disparate and large data sets to produce actionable information. The candidate will develop algorithms and applications by applying AI/ML, computer vision and state-of-the-art techniques to create models that support decision making tools in the national security arena.

Human-Computer Interaction / Human Factors: Requires experience in areas including human-machine teaming, human-machine interfaces, virtual augmentation of human performance, human performance, training, and/or education. Familiarity with AI-enabled systems, particularly in support of enhanced decision-making, is highly desirable.

Hypersonic Systems: Requires expertise in the development and application of computational tools for analysis of various aspects of hypersonic vehicle performance and phenomena including aerothermodynamics, material, structures, propulsion, observables, and mission design.

Intelligence, Surveillance, and Reconnaissance (ISR): Requires understanding of the application of space-based ISR to find, fix, and track both friendly and hostile forces, as well as to complete battle damage assessment (BDA). The candidate will address key challenges in automation, sensor fusion, latency, and data analytics.

Positioning, Navigation, and Timing (PNT): Requires expertise in the science and instrumentation of global navigation satellite systems (GNSS), algorithms for assured PNT, and the development of technologies for GPS limited/denied environments. The candidate will develop high precision, low SWaP-C solutions for resilient operations in relevant DoD environments.

Quantum Technologies: Requires expertise in the development of quantum-based capabilities for sensing, computing, and/or communications, for national security applications in all domains (land, sea, air, space, cyber). The candidate will build effective collaborations with established quantum scientists and engineers at CU Boulder to accelerate the transition of quantum products.

Radiofrequency (RF) Engineering: Requires expertise in RF communications, spectrum operations, and/or electronic warfare (EW) to address DoD challenges in SWaP-C, bandwidth, loss/efficiency, integration, and/or stealth. The candidate will develop solutions associated with power amplification, filter design, integrated circuit design, apertures, wireless propagation modeling, and/or AI/ML applied to RF design and signal detection.

Space Domain Awareness: Requires specialization in areas including astrodynamics, sensor tasking, state estimation, guidance/navigation/control (GNC), and space weather. The candidate will address key challenges in information fusion, perception, and activity interference with emphasis on space operations and anomaly identification and characterization.

Space Systems: Experience with space systems design, analysis, and operations is desired. Requires specialization in areas such as space systems engineering, ground systems, AI/ML, automation, and ISAM. Successful applicants will work with a PI, students, and other researchers to develop solutions that support dynamic space operations, space battle management command and control, and proliferated LEO and/or VLEO operations.

All research associates must have a customer-centric, results-focused mentality with the ability to operate in a sophisticated and dynamic environment to attain the strategic goals of the rapidly growing CU Boulder national security portfolio.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are

The Center for National Security Initiatives (NSI) at the University of Colorado Boulder provides high-impact national security research and workforce development enabled by world-class research scientists and essential infrastructure. The Center addresses the ever-increasing demand for qualified and experienced defense professionals in Colorado and across the nation by creating a prime opportunity for on-demand research collaboration in the national security research enterprise.

At NSI, our researchers both extend and deepen the national security research done across the University. We create a wide range of opportunities for training students at all levels of studies and create a pathway to postgraduate jobs and service.

NSI is committed to excellence through diversity by creating a welcoming and inclusive environment, enhancing the success and inclusion of all students, staff and faculty, and deepening our ability to share and engage with diverse perspectives.

What Your Key Responsibilities Will Be
  • Develop and execute on research proposals, key research tasks, and deliverables in support of DoD, IC, and Aerospace and Defense Industry customers.
  • Develop a nationally recognized research program in National Security that strategically supports the missions of NSI and the National Security enterprise.  
  • Provide technical leadership of research projects or project subtasks and coordinate across academic departments and research groups for interdisciplinary efforts.
  • Summarize results and provide required documentation and SW/HW deliverables to sponsors.
  • Engage Government and Industry sponsors, with support from NSI Staff, to shape strategic research opportunities and win research contracts.
  • Understand and communicate key challenges and R&D priorities regarding DoD and other national security organizations to develop the CU Boulder applied research portfolio.
  • Provide recommended prioritization of new sponsored research opportunities to the NSI leadership team.
  • Establish and leverage professional network with key customers, influencers, and executive decision makers in the national security community and gain insight into strategic direction, policies, R&D priorities, allocated budgets, and plans associated with relevant national security programs.
What You Should Know
  • Due to the nature, scope and sponsor of the work, the position is limited to only U.S. citizens, lawful permanent residents, refugees, and asylees, with the ability to obtain and maintain a U.S. security clearance.
    • For more information about clearance requirements please visit: https://www.dcsa.mil/Personnel-Security/Background-Investigations-for-Applicants/Investigations-Clearance-Process/
  • Travel out-of-state will be required.
  • Irregular work hours including evenings and weekends may be required.
What We Can Offer

We offer a competitive salary, commensurate with experience, along with a generous benefits package.

A Research Associate hired for this specific opportunity will be hired with an initial salary in one of the following ranges, depending on education and experience.

  • Postdoctoral Associate: $70,000 to $90,000 annually
  • Research Associate: $85,000 to $150,000 annually
  • Principal Research Associate: $145,000 to $190,000 annually
  • Senior Principal Research Associate: $185,000 to $210,000 annually

Relocation expenses may be available for this position following NSI and the University of Colorado's relocation processes and procedures. 

Benefits

At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.

Be Statements
Be ambitious. Be groundbreaking. Be Boulder.
What We Require
  • PhD in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or a field relevant to the given focus area.
  • Research Associate: A minimum of three years of experience in Academia, or the Aerospace and Defense Industry, or Government in a research role.
  • Senior Research Associate: A minimum of six years of experience in Academia, or the Aerospace and Defense Industry, or Government in a research role.
  • Proven expertise in the development and application of research in research focus area/s specified above.
What You Will Need
  • Demonstrated record of success and credibility within both the national security and academic communities.
  • Excellent verbal and written communications skills; strong interpersonal skills.
  • Demonstrated high-level critical thinking and organizational skills.
  • Ability to work within a complex, dynamic, matrixed structure across colleges and university administration and externally with Government and Industry partners.
What We Would Like You to Have
  • Experience working in a collaborative and interdisciplinary role at, or with, an academic or research institution.
  • Proven track record leading research efforts in support of DoD or Aerospace and Defense Industry.
  • Program management, Contracting, and/or Business Development experience in the Federal Government or Industry.
  • Active and or previous U.S. security clearance with the ability to acquire clearance.
    • For more information about clearance requirements please visit: https://www.dcsa.mil/Personnel-Security/Background-Investigations-for-Applicants/Investigations-Clearance-Process/
Special Instructions

To apply, please submit the following materials:

  1. Resume or CV.
  2. Cover Letter.

(Optional) Transcripts/Proof of Degree: If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources Department using an approved online vendor. However, if your degree was obtained outside of the United States, please submit an English-translated version as an Optional document.

Please apply by December 23, 2026 for consideration. 

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.


In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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