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Research Assistant Machine Learning Jobs in Nevada

Managed Staffing

Production Operator at Verdi, NV

Verdi, NV · On-site

$16.75 - $20.25/hr

... learning the ropes of the Machine Operator job. Take pride and great care in checking quality for every order you help fill for our customers. Operate Machines Assist Machine Operators Take full ...

Deloitte

AI Data Engineer - Manager

Las Vegas, NV

$109K - $131K/yr

... manage machine learning models and large language models. Research and Development * Conduct ... Build tools and capabilities that assist with data ingestion, feature engineering, data management ...

MNCP Staffing

Learning Specialist

Las Vegas, NV

The Learning Specialist is a key role supporting the Learning department by managing day-to-day ... and assist with identifying cost-saving opportunities. Research training topics, tools, and ...

Amh

Learning Specialist

Las Vegas, NV

$30.73 - $34/hr

The Learning Specialist is a key role supporting the Learning department by managing day-to-day ... and assist with identifying cost-saving opportunities. Research training topics, tools, and ...

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All JobsResearch Assistant Machine Learning JobsResearch Assistant Machine Learning Jobs in Nevada

Research Assistant Machine Learning information

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

As of Jun 9, 2026, the average hourly pay for research assistant machine learning in Nevada is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $25.96 per hour, depending on experience, location, and employer.

What is a Research Assistant Machine Learning job?

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 in 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 in the Research Assistant Machine Learning position, and why are they important?

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 Nevada? For Research Assistant Machine Learning jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Nevada look for? The top searched job categories for Research Assistant Machine Learning jobs in Nevada are:
What cities in Nevada are hiring for Research Assistant Machine Learning jobs? Cities in Nevada 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 Nevada as of June 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,405 per year, or $22.3 per hour.
Research Intern

Research Intern

Desert Research Institute (DRI)

Las Vegas, NV • On-site

$25 - $30/hr

Part-time

Posted 5 days ago

Job description

Thank you for your interest in employment with the Desert Research Institute. We want your application process to go smoothly and quickly. We ask that you keep in mind the following when completing your application:
  • Once you start the application process you cannot save your work. Please ensure you have all required attachment(s) available to complete your application before you begin the process.
  • Required attachments are listed below on the posting. Your application will not be considered without the required attachments.
  • Please see the application instructions under each posting for information on submittal deadlines.

If you need assistance or have questions regarding the application process, contact Human Resources Hotline at (775) 673-7431 or recruit@dri.edu.
Job Description
Undergraduate/Graduate Research Internship (BS/MS/PhD Level)
Advanced Seismo-Acoustic Waveform and Event Processing and Pipeline Development
Location: Desert Research Institute (DRI), Reno, Nevada (or Remote/Hybrid)
Duration: Summer (10-12 weeks, flexible)
Mentor: Dr. Cleat Zeiler
The Seismology 4 All STEM effort at the Desert Research Institute (DRI) invites applications for research internships focused on the development of advanced, data-driven systems that enable seismology workflows for all education levels. This opportunity is open to highly motivated students with strong technical backgrounds and an interest in solving complex, real-world problems at the intersection of software engineering, data science, and algorithm design.
We are seeking to recruit one undergraduate student for this internship.
The project involves designing and implementing scalable, intelligent platforms that integrate structured data, user interaction, and adaptive decision-making logic. The goal is to develop a data workflow for implementation in High Schools that connect students to local seismic activity. Much of the software is already developed, but ease of access to data and sharing results for collaborative science needs to be coordinated.
Research Scope
Interns will contribute to the design, development, and evaluation of seismo-acoustic work flows, including:
Development of structured data models to enable rapid analysis Design and implementation of algorithmic matching, ranking, or recommendation methods Backend system development for scalable data processing and interaction Integration of real-time system components and performance optimization Data-driven evaluation and iterative improvement of system performance
Key Responsibilities
Contribute to system architecture design and core development Implement and test algorithms and backend components, Work with databases, APIs, and cloud-based infrastructure, Perform data analysis, benchmarking, and system optimization, Collaborate on improving system performance and scalability.
Required Qualifications
  • Current undergraduate in: Computer Science, Data Science, Electrical Engineering, Geosciences or related fields
  • Strong background in: Programming (Python, C++, JavaScript, or similar), Data Structures, algorithms, and system design
  • Solid foundation in data structures, algorithms, and system design

Preferred Qualifications
  • Experience with machine learning, recommendation systems, or large-scale data systems
  • Experience with backend frameworks (Node.js, Django, FastAPI, etc.)
  • Experience with databases (SQL/NoSQL)
  • Experience to cloud platforms (AWA, GCP, Azure)
  • Experience with Seismo-Acoustic systems and distributed architectures

Salary
Undergraduate Students: $20-25/hour, Master's Students: $23-28/hour, PhD Students: $25-30/hour
Schedule: Summer (10-12 weeks), flexible hours and potential to continue during fall semester if scheduling permits
For more information, please contact: cleat.zeiler@dri.edu
Exempt
No
Full-Time Equivalent
47.5%
Required Attachment(s)
Please submit a resume
Posting Close Date
Note to Applicant
Applicants should fully describe their qualifications and experience with specific reference to each of the minimum and preferred qualifications. The search committee will use this information during the initial review of application materials.
References will be contacted at the appropriate phase of the recruitment process based on applicant notification and permission.
Newly hired faculty and postdoctoral fellows must assure that their official transcript is submitted to the Human Resources Office within 30 calendar days from the effective date of employment. Academic degrees must have been awarded by regionally accredited institutions.
This position may require a criminal background check to be conducted on the candidate(s) selected for hire.
As part of the hiring process, applicants for positions in the Nevada System of Higher Education may be required to demonstrate the ability to perform job-related tasks.
DRI employs only U.S. citizens and aliens authorized to work in the U.S. DRI only sponsors aliens applying for research faculty or postdoctoral fellow positions (J-1 or H-1B Visas).
All applicants hired by the Desert Research Institute are subject to E-Verify.

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