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

Intuit

AI Scientist 2

Atlanta, GA

In this role, you will develop and deploy modern machine learning and AI models directly in our ... Research and explore new technology shifts, particularly in generative AI and advanced ML, to ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

In this role, you will develop and deploy modern machine learning and AI models directly in our ... Research and explore new technology shifts, particularly in generative AI and advanced ML, to ...

Intuit

AI Scientist 2

Atlanta, GA · On-site

In this role, you will develop and deploy modern machine learning and AI models directly in our ... Research and explore new technology shifts, particularly in generative AI and advanced ML, to ...

ARC Group

Sr. Data Scientist

Atlanta, GA · On-site

Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance * Recognize emerging machine learning and pattern ...

neptune technologies

Data Scientist

Duluth, GA

Responsibilities • Collaborate with team members to develop and deploy machine learning models ... new technologies and tools quickly. • Continued professional development through courses ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

... new opportunities for data-driven innovation. Experience • 5+ years of experience in data science, machine learning, or related analytical roles. • 5+ years of experience with Python and data ...

Neptune

Data Scientist

Duluth, GA · On-site

Responsibilities • Collaborate with team members to develop and deploy machine learning models ... new technologies and tools quickly. • Continued professional development through courses ...

Elevance Health

Research Scientist Senior

Atlanta, GA · On-site +1

$94K - $120K/yr

... New York, NY. Alternate locations may be considered if candidates reside within a commuting ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

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Showing results 41-60

All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Atlanta, GA

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:

New Grad Machine Learning jobs near you
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.

Specialist - Robotics and Physical AI

McKinsey & Company

Atlanta, GA • On-site

Full-time

Re-posted 9 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Job Summary:
McKinsey & Company is a global management consulting firm that focuses on driving lasting impact and building long-term capabilities with clients. They are seeking a Specialist in Robotics and Physical AI who will apply expertise in physical sciences and machine learning to solve complex engineering challenges for industrial clients, leading technical workstreams and developing innovative solutions.
Responsibilities:
• Apply deep expertise in physical sciences, computational engineering, machine learning, and physics-based modeling to help leading industrial clients tackle their most complex engineering challenges.
• Lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational insights into strategic recommendations and solutions that deliver measurable impact for clients.
Qualifications:
Required:
• Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply
• Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++)
• Demonstrated fluency with statistical sampling, machine learning, and data science techniques
• Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion
• Proficient in rational decision making based on data, facts, and logical reasoning
• Ability to create work product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times
• Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., manufacturing facilities, etc.)
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
Preferred:
• Simulation experience, Pytorch, ML/AI/Data Science a plus
Company:
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions. Founded in 1926, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What McKinsey & Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About McKinsey

Sourced by ZipRecruiter

In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Social media

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