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Artificial Intelligence Machine Learning Physics Jobs in Georgia

Ksb

Machine Learning Engineer

Grovetown, GA · On-site

You'll build the data foundation that powers this work, implement and train models that bridge physics-based simulation with modern machine learning, and work closely with an experienced technical ...

Monitise

A.I. Transformation Lead

Alpharetta, GA · On-site

$141K - $225K/yr

Bachelor's degree in computer science, Data Science, Artificial Intelligence, Machine Learning, or a related field; advanced degree preferred. Technical Expertise * Strong foundation in machine ...

Invesco

Global Head of Advanced Engineering

Atlanta, GA · On-site

$173K - $223K/yr

Collaborate with Innovation and Technology leadership to identify, evaluate and adopt emerging trends in artificial intelligence, machine learning, and advanced engineering to sustain Invesco ...

Invesco

Global Head of Advanced Engineering

Atlanta, GA · On-site

$173K - $223K/yr

Collaborate with Innovation and Technology leadership to identify, evaluate and adopt emerging trends in artificial intelligence, machine learning, and advanced engineering to sustain Invesco ...

Invesco

Global Head of Advanced Engineering

Atlanta, GA · Hybrid

$173K - $223K/yr

Collaborate with Innovation and Technology leadership to identify, evaluate and adopt emerging trends in artificial intelligence, machine learning, and advanced engineering to sustain Invesco ...

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All JobsArtificial Intelligence Machine Learning Physics JobsArtificial Intelligence Machine Learning Physics Jobs in Georgia

Artificial Intelligence Machine Learning Physics information

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

What are popular job titles related to Artificial Intelligence Machine Learning Physics jobs in Georgia?

For Artificial Intelligence Machine Learning Physics jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Georgia look for?

The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Georgia are:

What cities in Georgia are hiring for Artificial Intelligence Machine Learning Physics jobs?

Cities in Georgia with the most Artificial Intelligence Machine Learning Physics job openings:

Artificial Intelligence Machine Learning Physics jobs near you
Infographic showing various Artificial Intelligence Machine Learning Physics job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Artificial Intelligence (AI) Tutor

Varsity Tutors

Athens, GA • Remote

$18 - $40/hr

Part-time

Re-posted 13 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 24 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Artificial Intelligence (AI) tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Artificial Intelligence (AI) Tutor
  • Advanced Subject Mastery: Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic reasoning, and ethical AI considerations. Ability to explain supervised and unsupervised learning, backpropagation, transformer architecture, and bias in AI systems while preparing students for AI research, data science, and technology innovation careers.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down neural network architectures, training optimization, and model evaluation techniques. Guides students through implementing classification and regression models, designing neural networks, preprocessing data, evaluating model performance with metrics, and interpreting AI system outputs. Emphasizes connecting mathematical foundations to practical implementation and applies AI to healthcare, autonomous systems, and creative applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with AI curricula at introductory and intermediate levels and common challenges such as understanding gradient descent mathematics, selecting appropriate model architectures, and interpreting overfitting. Adapts instruction using Python with TensorFlow or PyTorch, interactive notebooks, and real-world data projects to support students from AI concepts introduction through intermediate machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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