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Research Assistant Machine Learning Jobs in Huntsville, AL

Anduril Industries

Research Scientist

Huntsville, AL · On-site

$165K - $218K/yr

Engineering: controls, estimation theory, digital signal processing, and machine learning ... A Research Scientist should have effective written and verbal communication skills, with the ...

Torch Technologies

AI/ML Engineer

Huntsville, AL · On-site

$120 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research and apply emerging AI/ML technologies, frameworks, and methodologies to drive innovation.Critically evaluate machine learning systems, including model assumptions, explainability, and ...

New

Torch Technologies, Inc.

AI/ML Engineer

Redstone Arsenal, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research and apply emerging AI/ML technologies, frameworks, and methodologies to drive innovation. * Critically evaluate machine learning systems, including model assumptions, explainability, and ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research and apply emerging AI/ML technologies, frameworks, and methodologies to drive innovation. * Critically evaluate machine learning systems, including model assumptions, explainability, and ...

Torch Technologies Inc.

AI/ML Engineer

Redstone Arsenal, AL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Research and apply emerging AI/ML technologies, frameworks, and methodologies to drive innovation. * Critically evaluate machine learning systems, including model assumptions, explainability, and ...

IERUS Technologies Inc

Program Manager

Huntsville, AL · On-site

Operations Research, Agile Development, Machine Learning, Integrated Air and Missile Defense Preferred : • Masters in Engineering, Computer Science, or Engineering Management • Experience in Navy ...

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Research Assistant Machine Learning information

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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 Huntsville, AL is $21.59, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $25.10 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 Huntsville, AL?

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

What job categories do people searching Research Assistant Machine Learning jobs in Huntsville, AL look for?

The top searched job categories for Research Assistant Machine Learning jobs in Huntsville, AL are:

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Huntsville, AL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $44,902 per year, or $21.6 per hour.

Senior Data Scientist with Security Clearance

Anonymous Employer

Huntsville, AL • On-site

$70 - $90/hr

Other

Re-posted 10 days ago

Job description

Senior Data Scientist
W2 Pay Rate: $70-90/hr depending on experience Position Overview
We are seeking a Senior Data Scientist to support the development of advanced analytics, machine learning, and artificial intelligence solutions in a complex enterprise environment. This role will work across large and diverse datasets to develop predictive models, automate decision-making processes, and deliver actionable insights that support mission and business objectives.
The ideal candidate combines strong software engineering skills with practical experience in machine learning, statistical analysis, and cloud-based data environments. Success in this role requires the ability to rapidly learn new tools and technologies while collaborating with engineering, data, and product teams. Key Responsibilities
• Design, develop, and deploy machine learning and data science solutions to address complex business and operational challenges
• Build and maintain scalable data processing, feature engineering, and model deployment pipelines
• Develop software and analytical solutions using modern programming languages and frameworks
• Conduct exploratory data analysis and statistical modeling to identify trends, anomalies, and opportunities for optimization
• Evaluate, validate, and improve machine learning model performance using appropriate statistical techniques and methodologies
• Collaborate with software engineers, architects, and stakeholders to integrate machine learning capabilities into enterprise applications
• Support the deployment, monitoring, and lifecycle management of machine learning models in cloud environments
• Develop technical documentation, visualizations, and presentations to communicate findings and recommendations
• Contribute to software development best practices, code reviews, and continuous integration/continuous delivery processes
• Research emerging technologies and recommend innovative approaches to improve analytical capabilities
Required Qualifications
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline
• Experience developing software solutions using Python, Java, Scala, or similar programming languages
• Strong understanding of object-oriented programming and/or functional programming principles
• Knowledge of machine learning algorithms and techniques
• Experience applying natural language processing (NLP) methodologies
• Strong understanding of statistical analysis and model evaluation techniques
• Experience developing, testing, and maintaining software using Git-based version control systems
• Experience working within CI/CD environments using Git and GitLab
• Experience utilizing Amazon Web Services (AWS) cloud technologies
• Strong problem-solving and analytical skills
• Ability to rapidly learn and adapt to new programming languages, frameworks, and technologies
• Strong communication and collaboration skills Preferred Qualifications
• Hands-on experience with AWS services such as: o EMR
o Bedrock
o Lambda
o EventBridge
• Familiarity with agentic AI architectures and frameworks
• Knowledge of Model Context Protocol (MCP)
• Experience designing and deploying generative AI solutions
• Familiarity with Spring Boot and modern Java application development
• Experience supporting production machine learning workloads in cloud environments
• Knowledge of MLOps concepts and model deployment best practices Desired Technical Skills
• Python
• Java
• Scala
• Machine Learning
• Natural Language Processing (NLP)
• Statistical Modeling
• AWS
• Git
• GitLab CI/CD
• Data Engineering
• Model Evaluation
• Generative AI
• Agentic AI
• MCP
• Spring Boot What Makes a Strong Candidate
• Strong combination of software engineering and data science expertise
• Ability to translate business problems into analytical solutions
• Comfortable working in fast-paced environments with evolving technical requirements
• Passion for continuous learning and emerging AI technologies

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