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New Grad Machine Learning Jobs in Atlanta, GA (NOW HIRING)

If you want to achieve your true potential, chart new paths, develop new skills, collaborate with ... Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Machine Learning Tutor

Roswell, GA · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Machine Learning Tutor

Duluth, GA · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Machine Learning Tutor

Atlanta, GA · Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

... new methods relevant to the problems at hand * Collaborate with university partners and other ... machine learning, artificial intelligence, and deep learning techniques * 7+ years of total ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science ...

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New Grad Machine Learning information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

How much do new grad machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for new grad machine learning in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Atlanta, GA?

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

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

The top searched job categories for New Grad Machine Learning jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for New Grad Machine Learning jobs?

Cities near Atlanta, GA with the most New Grad Machine Learning job openings:

Infographic showing various New Grad Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

Machine Learning Engineer

Equifax, Inc.

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 3 days ago


Equifax rating

7.8

Company rating: 7.8 out of 10

Based on 27 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

Get the full story on Breakroom


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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

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