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Research Assistant Machine Learning Jobs in Colorado

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Research, design, and deploy the next generation of Ibotta's ML architectures, workflows, and ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Research Assistant Machine Learning information

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Colorado? For Research Assistant Machine Learning jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Research Assistant Machine Learning jobs? Cities in Colorado with the most Research Assistant Machine Learning job openings:
Infographic showing various Research Assistant Machine Learning job openings in Colorado as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% In-person job distribution.

Research Assistant

Colorado Mesa University

Grand Junction, CO • On-site

$18.75 - $25.75/hr

Part-time

Re-posted 13 days ago


Colorado Mesa University rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

186th of 617 rated colleges and universities


Job description

FLSA Status:
United States of America (Non-Exempt)
SECTION I - OUR VALUES CULTIVATE OUR VISION AND CULTURE
At CMU, we believe in acting from a foundation of goodwill. This belief gives us the courage to form meaningful relationships, embark on joint endeavors and take risks in the pursuit of new possibilities. It's this courage that enables the Mavily to explore new ways of thinking and doing, knowing that there is no perfect solution, no perfect idea.
From this place of humility and courage, we've built a culture of resilience. We invest in the future by continuously adapting to change, overcoming challenges, and seizing new opportunities. We recognize that change is constant, and our resilience allows us to embrace it with confidence. Endless curiosity drives us to approach the unexpected as if it were expected, seeing opportunities for discovery and renewal in every challenge. In this community rooted in love and dignity, curiosity thrives, leading to endless opportunities for growth and advancement.
Inspired by the soul of the West-the spirit that our region embodies-we emerge as a force for positive change, harnessing our collective power to build a Human Scale University that reflects our values and brings to life our shared vision of the world we aspire to create.
Colorado Mesa University Core Values
Love - Extending oneself for nurturing the growth of self and others
Dignity - Respecting the intrinsic value of each person and believing that others act from a foundation of goodwill
Courage - Taking risks in the pursuit of new possibilities
Humility - Suspending one's ego and pride to recognize that no idea is perfect and being open to the input of others
Resiliency - Investing in the future by adapting to changes, overcoming challenges and pursuing Opportunity
Curiosity - Cultivating awe and exploring the unknown
Power - The strength to act collaboratively with individual agency to achieve our goals
JOB DESCRIPTION
The Undergraduate Student Research Assistant will contribute to cutting-edge geoscience research focused on the development, implementation, and evaluation of artificial intelligence (AI) workflows for seismic data analysis. The student will work as part of a research team investigating how modern AI, machine learning, image processing, and computational methods can improve seismic interpretation, geological characterization, and subsurface feature detection.
This position provides hands-on experience in applied geophysics, computational geoscience, and scientific programming while exposing students to real-world research problems in energy exploration, carbon storage, geothermal systems, and structural geology.
The assistant will participate in the entire research workflow, from literature review and data preparation to algorithm development, testing, validation, documentation, and presentation of research findings.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
DISCLAIMER - This position description is only a summary of the typical functions of this seat, and not an exhaustive list of all responsibilities and areas of accountability.
HOW TO APPLY: Applicants will be asked to complete an online application by creating a profile and then providing personal and demographic information. In addition, please be prepared to upload a:
  • Cover letter (Optional)
  • Resume

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