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Research Assistant Machine Learning Jobs in Atlanta, GA

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Mathematics - Ability to read and comprehend research papers in latest machine learning field, and applying innovative techniques to real-world problems * Technical Leadership - Be able to lead and ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

You will work closely with AI/ML researchers, data engineers, and product teams to design ... OpenAI GPT models (chat, assistants, fine-tuning). * Anthropic Claude (safety-first AI for ...

Denali Health

Research Assistant

Atlanta, GA · On-site

$18.50 - $25.50/hr

Support Clinical Research Visits: * Assist with participant visits and study-related procedures ... Structured development plans and ongoing learning opportunities. Why Denali? Do work that matters:

Denali Health

Research Assistant

Atlanta, GA · On-site

$18.50 - $25.50/hr

Support Clinical Research Visits: * Assist with participant visits and study-related procedures ... Structured development plans and ongoing learning opportunities. Why Denali? Do work that matters:

Crowe LLP

Machine Learning Intern

Atlanta, GA · On-site

$27 - $42/hr

Modeling Understanding how to frame business problems as data science problems Navigating the full data science lifecycle: research and exploration, development, deployment, support Using correct ...

Equifax, Inc.

Senior Machine Learning Architect

Atlanta, GA · On-site

$124K - $169K/yr

Mathematics - Ability to read and comprehend research papers in latest machine learning field, and applying innovative techniques to real-world problems * Technical Leadership - Be able to lead and ...

Denali Health

Clinical Research Assistant

Atlanta, GA · On-site

As a Research Assistant (RA) , you will work side-by-side with our Clinical Research Coordinators ... Comfortable using computers, navigating electronic medical records (EMR), and learning new software ...

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

As of Sep 10, 2026, the average hourly pay for research assistant machine learning in Atlanta, GA is $21.07, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $24.52 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 Atlanta, GA?

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

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

The top searched job categories for Research Assistant Machine Learning jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Research Assistant Machine Learning jobs?

Cities near Atlanta, GA 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 Atlanta, GA as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% In-person job distribution, with an average salary of $43,824 per year, or $21.1 per hour.

Machine Learning Engineer

Atlanta, GA • On-site

Equifax, Inc.
IT Services • 10K+ employees
Learn more about Equifax, Inc.external

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago

Equifax rating

7.5

Company rating: 7.5 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is excited to add a Machine Learning Engineer to our team.
What you'll do
  • Design complex systems of systems for training and running machine learning models with industry best practice
  • Define projects and scope for teams of engineers and guide their completion
  • Develop, identify, and report intellectual property through patent applications, invention disclosures, white papers, and presentations
  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues including executives, customers, and peers from other businesses and institutions
  • Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment
  • Deliver on company initiatives and prioritize projects supporting your long term technical vision
  • Collaborate with the product team, architects, and others to understand the opportunities and limitations of AI, ML, and data engineering
  • Participate in peer design and code reviews
  • Show initiative to identify and drive forward improvements and innovations that add value and move the IT organization forward
  • Elevate the performance of colleagues through training, mentoring, and promoting best practices; may function as a team lead

What experience you need
  • BS degree in a STEM major or equivalent job experience required; Master's Degree preferred; AI/ML coursework preferred
  • 7+ years of related work experience, including proven experience leading a team of MLE, DS, SDE, DevOps, or related roles
  • Experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability and reliability
  • Cloud Certification Strongly Preferred

What could set you apart
  • Application Development/Programming - Ability to review code for quality, performance, and efficiency, and optimize critical parts of the codebase; Ability to establish the best practices of Software Development Life Cycle for the team
  • Artificial Intelligence - Designing scalable and maintainable machine learning architectures and frameworks for the organization's products and services; Ability to define the technical vision and roadmap for the MLE team aligned with the organization's goals and industry trends
  • Big Data Analytics - Deep understanding of the domain or industry in which the machine learning solutions are being applied, enabling the company to develop impactful big data solutions
  • Cloud Computing - Proficiency in data architecture design, data strategy development, data orchestration, data integration, ETL development, data modeling, parallel processing and performance optimization.
  • Collaboration - Being able to engage with internal stakeholders, including data scientists, business leaders, product managers, and executives, to understand requirements and present technical solutions; Ability to collaborate with other teams, such as software engineering, data engineering, and business intelligence, to integrate machine learning solutions into larger systems.
  • Mathematics - Ability to read and comprehend research papers in latest machine learning field, and applying innovative techniques to real-world problems
  • Technical Leadership - Be able to lead and manage a team of machine learning engineers, data scientists, or related roles. Ability to set clear goals, provide guidance, and foster a collaborative and productive team environment

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta-One-Atlantic-Center
USA-Atlanta JV White
Function:
Function - Tech Dev and Client Services
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

Social media

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