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Research Assistant Machine Learning Jobs in Alabama

Auburn University

TES Research Associate

Auburn, AL · On-site

Responsibilities : • Developing and implementing machine learning and deep learning models to ... research reports, manuscripts, and grant proposals • This position will provide hands-on ...

UAB NOVA RENT

SCIENTIST III

Birmingham, AL · On-site

... guiding research assistants and interns toward achieving lab and project goals. * Funding ... AI/ML Expertise: Deep proficiency with modern machine learning, including deep learning ...

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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 Alabama?

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

What job categories do people searching Research Assistant Machine Learning jobs in Alabama look for?

The top searched job categories for Research Assistant Machine Learning jobs in Alabama are:

What cities in Alabama are hiring for Research Assistant Machine Learning jobs?

Cities in Alabama 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 Alabama as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 100% In-person job distribution.

TES Research Associate

Auburn University

Auburn, AL • On-site

Full-time

Re-posted 7 days ago

Auburn University rating

6.2

Company rating: 6.2 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

545th of 619 rated colleges and universities

Job description

Job Summary:
Auburn University is looking for a TES Research Associate to support research in AI-driven modeling of forestry systems. The role involves developing computational models and integrating multi-source datasets to advance understanding in ecological traits and plant physiological processes.
Responsibilities:
• Developing and implementing machine learning and deep learning models to analyze forestry, physiological, and ecological datasets
• Modeling plant growth, carbon allocation, stress response (e.g., drought, salinity), and ecosystem productivity using AI-based approaches
• Integrating multi-modal datasets (remote sensing, UAV /drone imagery, field inventory data, soil and climate parameters, and genomic/trait data)
• Conducting statistical modeling, feature selection, and predictive analytics for forest health, resilience, and biomass estimation
• Supporting data preprocessing, cleaning, normalization, and database organization
• Assisting in the preparation of research reports, manuscripts, and grant proposals
• This position will provide hands-on experience in applying artificial intelligence and computational modeling techniques to complex biological and ecological systems, with applications in forest productivity, climate resilience, and sustainable resource management.
Qualifications:
Required:
• Master's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.
Company:
Auburn University is an institute of higher learning that offers undergraduate and graduate courses. Founded in 1856, the company is headquartered in Auburn University, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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