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Research Assistant Machine Learning Jobs in Prosper, TX

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework Develop novel solutions using knowledge of the latest ...

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

$140 - $190/hr

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Strong communicator who can translate complex research findings into actionable decisions for ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Strong communicator who can translate complex research findings into actionable decisions for ...

Vizient, Inc.

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Research and Innovation Stay at the forefront of emerging AI and machine learning technologies. Evaluate and integrate new tools, frameworks, and methodologies to enhance model performance and ...

Vizient

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Research and Innovation Stay at the forefront of emerging AI and machine learning technologies. Evaluate and integrate new tools, frameworks, and methodologies to enhance model performance and ...

New

CVS Health

Sr Machine Learning Engineer

Irving, TX · On-site +1

$112K - $185K/yr

Continuously research and evaluate new ML algorithms and technologies to improve model accuracy and ... Assist in defining the architecture of software systems involving machine learning components.

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How much do research assistant machine learning jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for research assistant machine learning in Prosper, TX is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $23.32 per hour, depending on experience, location, and employer.

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 Prosper, TX?

For Research Assistant Machine Learning jobs in Prosper, TX, the most frequently searched job titles are:

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What cities near Prosper, TX are hiring for Research Assistant Machine Learning jobs?

Cities near Prosper, TX with the most Research Assistant Machine Learning job openings:

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,733 per year, or $20.1 per hour.

Machine Learning Intern

Cambium Learning Group

Dallas, TX • On-site, Remote

Full-time

Posted 10 days ago

Cambium Learning Group rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

10th of 245 rated software companies

Job description

Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations, a math fact fluency solution, and a K-2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond.
Job Location: Fully remote. Candidates must reside and work within the United States.
Job Overview:
We are looking for a summer intern to join our machine learning team. This team focuses on the modelling of unconstrained text to help our educational assessment programs, primarily with transformer-based deep learning models. The work will consist primarily of comparing multiple approaches for automated scoring of Spanish constructed response items. This project will involve experimenting with multilingual language models, comparing multiple approaches for automated scoring of Spanish constructed response items, and evaluating the performance of automated scoring of Spanish items using standard industry metrics such as QWK, accuracy, and SMD.
Job Responsibilities:
  • Work with our psychometricians and data scientists to define a research problem, design an experiment, implement the study, and write up results
  • Write code in Python using machine learning frameworks and libraries to ingest and clean data, build models, and evaluate results
  • Document, archive, and present work on the project
  • Work as part of a multi-disciplinary team discussing methods and results of this project and others

Job Requirements:
  • Enrolled in a data science, computer science, mathematics, linguistic, or educational measurement Master's or Ph.D. program
  • Experience working with text and natural language processing tools
  • Coding ability with Python
  • Ability to work autonomously and collaborate effectively within a team
  • Familiarity with written Spanish would be an asset

To apply for this opportunity, simply click on the "Apply" button and submit a cover letter and resume.
An Equal Opportunity Employer
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

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