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How much do ml research assistant jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for ml research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What is an ML Research Assistant?

ML Research Assistants are individuals who support machine learning research projects by assisting with tasks like data collection and preprocessing, literature reviews, experimental setup, model training, and result analysis. They often collaborate with researchers, graduate students, and professors to advance the development and understanding of machine learning algorithms. ML Research Assistants may also help write research papers, prepare presentations, and maintain codebases. This role is common in academic, research, and industry settings, and serves as valuable experience for those interested in pursuing advanced studies or careers in artificial intelligence.

What skills and qualifications are needed to thrive as an ML Research Assistant?

To thrive as an ML Research Assistant, you need a solid background in mathematics, programming (Python, R), and a foundational understanding of machine learning concepts, often demonstrated by a relevant degree or coursework in computer science or data science. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you interpret research findings and collaborate within a team. These skills are vital to effectively support complex ML projects, contribute to innovative research, and ensure accurate, reproducible results.

What are common challenges faced by ML Research Assistants when collaborating with senior researchers and engineers?

ML Research Assistants often face the challenge of bridging the gap between theoretical research and practical implementation, especially when collaborating with experienced researchers and engineers. Communication can be complex, as they may need to translate high-level research goals into experimental setups or prototype code. Additionally, ML Research Assistants must stay adaptable, as project priorities can shift quickly based on new findings or feedback. Building strong documentation and proactive communication skills are key to ensuring seamless collaboration within multidisciplinary teams.

How to become an ML research assistant?

To become an ML research assistant, candidates typically need a strong background in computer science, mathematics, or related fields, along with programming skills in languages like Python and experience with machine learning frameworks such as TensorFlow or PyTorch. A relevant bachelor's degree is often required, and advanced roles may require a master's or PhD. Gaining research experience through internships, projects, or academic work can improve prospects.
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Ml Research Assistant jobs near you
Infographic showing various Ml Research Assistant job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Research Assistant Professor Subsurface Modeler

The University of Texas at Austin

Austin, TX • On-site

$85K/yr

Full-time

Re-posted 20 days ago

University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

126th of 620 rated colleges and universities

Job description

Description
As part of a multi-disciplinary, integrated research team, the candidate will participate directly in efforts to relocate seismicity and to provide subsurface velocity models and geo-models.
Responsibilitties for this position include:
- Performing original and independent research on the subsurface velocity models of Texas, the surrounding area of Texas, and elsewhere. Additionally, being involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data.
- Engaging in outside funding activities and promote programs with stakeholders.
- Presenting research results to funding agencies, report results of research in journal articles and books, and present results at professional meetings.
- Doing fieldwork as needed.
Salary
$85,000 depending on qualifications.
Qualifications
Required Qualifications:
PhD in seismology/geophysics or closely related discipline (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience. Proven record of successful leadership in a research environment in industry, or in academia. Ability and desire to work in diverse, multi-disciplinary, integrated research teams. Demonstrated ability to work effectively in groups and independently, sometimes in demanding conditions. Ability to manage complex systems. Professional demeanor and excellent written and verbal communication and interpersonal skills
Preferred Qualifications:
Hands-on experience in analyzing and manipulating geophysical, geological, petrophysical spatial data. Profieciency, with specific background and hands-on experience with geophysical and geomodelling software (e.g. Petrel) and geo-statistics. Experience in numerical modelling using innovative tools (e.g. FLAC3D) and methods (ML), earthquake algorithm, earthquake location algorithms, computer programming and geophysical equipment. Knowledge of Python programming language, including experience in developing scripts and tools for data processing. and anaysis. Demonstrated ability to meet deadlines and deliverables. Willingness and ability to adapt to changing research programs and project needs. Excellent written and verbal communication skills.
Application Instructions
Along with your application, please provide the following:
- Letter of Interest
- CV/Resume
- 3 professional references with their contact information

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