Machine Learning Scientist Jobs in Georgia
Machine Learning Scientist jobs in Georgia are open across Atlanta and Alpharetta and other Georgia metros, with employers like The Home Depot, AIG, and Capgemini hiring at every experience level. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 25+ Machine Learning Scientist jobs











INTRODUCTION
Norfolk Southern offers a unique opportunity to be part of our proud legacy that spans nearly 200 years. We are a customer-centric, operations-driven team dedicated to advancing safety, serving communities, and driving innovation for tomorrow's rail. As part of Norfolk Southern, you’ll join a collaborative team where there are opportunities for growth across the organization. We are building a culture where everyone can thrive by owning and driving exceptional results, being humble and leading with trust, serving our customers with excellence, and collaborating and coaching to win.
LOCATION
Location: Atlanta, GA, US, 30318
JOB TITLE
Job Title: Computer Vision Scientist II
ROLE AND RESPONSIBILITIES
Norfolk Southern Corporation is seeking a Computer Vision Scientist II based in Atlanta, Georgia. This position will be responsible for developing and implementing innovative artificial intelligence (AI) and machine vision technologies for various applications within the railroad industry. This position will collaborate with various product teams across different business units and apply advanced data science, machine learning, and statistical modeling techniques to define high-impact business problems, solve them using innovative techniques, and monitor their performance throughout the lifecycle of the solution. This individual will be required to telecommute to the office in alignment with Norfolk Southern’s office/remote - hybrid work policy, which requires in-office presence every work week.
Job Duties:
- Design, develop, and implement novel computer vision algorithms tailored to unique use cases.
- Conceptualize and build custom convolutional neural network (CNN) architectures to meet specific project needs.
- Assess the accuracy and quality of developed models as well as evaluate data sources for optimal results.
- Stay informed on the latest advancements, models, and techniques in the field of computer vision.
- Design and develop production-ready code for deployment.
- Collaborate with the image labeling team and provide labeling instructions, guidelines, and documentation to support the team's work.
- Present findings, results, and implications effectively to colleagues and business partners.
- Work alongside application development teams to seamlessly integrate developed models into existing systems.
- Assist in gathering requirements and problem formulation.
- Contribute to hiring efforts by identifying and evaluating potential team members.
- Provide support for deployed models by identifying and resolving issues effectively.
BASIC QUALIFICATIONS
- Bachelor’s degree in Computer Science, Electrical Engineering, Machine Learning, Statistics, or a related, relevant field.
- Minimum of one (1) year of experience in a role focused on computer vision, perception, or sensor-processing for real-time or safety-critical applications within the transportation or railroad domains. This experience must include at least one (1) year of experience:
- Designing and integrating perception or sensor-processing algorithms for camera, radar, lidar, or comparable sensors, using Python or MATLAB, and implementing production or near-production code in C++ or a similar compiled language;
- Conducting loop-based validation (e.g., Model-in-the-Loop, Software-in-the-Loop, or Hardware-in-the-Loop) to verify algorithm behavior prior to release; and
- Building and maintaining unit and module test suites, including regression tests, to verify software correctness during development.
- Must be able to work weekends and on-call as necessary.
COMPENSATION
- Salary: $83,554 to $201,802 per year
APPLICATION INSTRUCTIONS
Apply via email: HR.CareersInbox@nscorp.com or call (470) 559-0408.
NOTICE OF FILING OF APPLICATION FOR PERMANENT EMPLOYMENT CERTIFICATION
An application for permanent labor certification for the position described below will be filed by Norfolk Southern Corporation with the U.S. Department of Labor.
This notice is provided as a result of the intended filing of an Application for Permanent Employment Certification for the above job opportunity. Any person may provide documentary evidence bearing on this application to:
Certifying Officer
U.S. Department of Labor
Employment and Training Administration
Office of Foreign Labor Certification
200 Constitution Avenue NW, Room N-5311
Washington, DC 20210
This notice was posted in a conspicuous place in the office of Norfolk Southern Corporation in Atlanta, Georgia and on the company’s intranet for a period of 10 consecutive business days from _ until _. The notice remained clearly visible and unobstructed during the entire period of posting.
Equal employment opportunities are available to all applicants regardless of race, color, religion, age, sex, national origin, disability status, genetic information, veteran status, sexual orientation, and gender identity. Together, we power progress.
See All 25 Machine Learning Scientist Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find JobsMachine Learning Scientist Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Machine Learning Scientist Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring
- The Home Depot6

- AIG5

- Capgemini4

- Intuit3

- Aig PC Global Services1

Top Industries Hiring
- Technology & Software9
- Insurance7
- Retail6
- Fintech3
- Airlines1
What Georgia Employers Look For
The qualifications that appear most often in machine learning scientist jobs across Georgia.
- PhD or MS in computer science, statistics, or a closely related quantitative field
- Proficiency in Python with deep experience in PyTorch or TensorFlow
- Experience designing, training, and evaluating large-scale machine learning models
- Familiarity with cloud ML infrastructure such as AWS SageMaker, GCP Vertex AI, or Azure ML
- Strong publication record or demonstrated applied research output
- Experience with distributed training, model optimization, or MLOps pipelines
Machine Learning Scientist Jobs in Georgia: Frequently Asked Questions
How many machine learning scientist jobs are there in Georgia?
There are 25+ machine learning scientist openings in Georgia on Migrate Mate as of June 2026, with the most roles in Atlanta and Alpharetta. New positions post regularly as employers across Georgia hire.
How much do machine learning scientists make in Georgia?
Machine learning scientists in Georgia earn a median of about $104,340 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $67,750 for the lowest 10% to over $170,010 for the top 10%. Pay rises with experience, specialty, and employer.
Which Georgia cities have the most machine learning scientist jobs?
Atlanta and Alpharetta have the most machine learning scientist openings in Georgia right now, with additional roles spread across smaller metros statewide.
Which companies hire machine learning scientists in Georgia?
Employers hiring machine learning scientists in Georgia include The Home Depot, AIG, and Capgemini, based on current listings on Migrate Mate as of June 2026.
Are there remote machine learning scientist jobs in Georgia?
Yes. About 20% of machine learning scientist openings tied to Georgia are remote or hybrid as of June 2026. The rest are on-site roles based in Georgia metros.
How do I apply for machine learning scientist jobs in Georgia?
You can apply to machine learning scientist jobs in Georgia directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Georgia location, then apply to each one that fits.
See All 25 Machine Learning Scientist Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
Find Jobs