1

Physics Informed Machine Learning Jobs in Atlanta, GA

Senior Data Scientist

Atlanta, GA · On-site +1

$160K - $180K/yr

Experienced with building enterprise grade machine learning and data platforms * Preferably Possessing a Master's degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics ...

New

Experienced with building enterprise grade machine learning and data platforms * Preferably Possessing a Master's degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics ...

... informed decision-making within an organization. This role requires expertise in advanced analytics, machine learning, and problem-solving to extract meaningful value from large and complex datasets.

... informed decision-making within an organization. This role requires expertise in advanced analytics, machine learning, and problem-solving to extract meaningful value from large and complex datasets.

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

EE/CS Patent Agent

Atlanta, GA · On-site

$140K - $240K/yr

... physics. Preferred experience includes patent prosecution in Artificial Intelligence , Machine Learning , 5G-Telecom , Robotics and Semiconductor Manufacturing and Packaging . This opportunity is ...

New

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Develop electronic warfare and radar system concepts, signal processing and machine learning ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Showing results 21-40

Physics Informed Machine Learning information

See Atlanta, GA salary details

$5

$19

$24

How much do physics informed machine learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for physics informed machine learning in Atlanta, GA is $19.29, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $24.52 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What cities near Atlanta, GA are hiring for Physics Informed Machine Learning jobs?

Cities near Atlanta, GA with the most Physics Informed Machine Learning job openings:

Infographic showing various Physics Informed Machine Learning job openings in Atlanta, GA as of August 2026, with employment types broken down into 6% Internship, 42% Full Time, 44% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $40,131 per year, or $19.3 per hour.

Senior Data Scientist

Zeta Global

Atlanta, GA • On-site, Remote

$160K - $180K/yr

Full-time

Posted 2 days ago

New


Job description

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identityintelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. 

THE ROLE

The machine learning team sits at the heart of our technology and delivers on the core brand promise of bringing rocket science to make advertising more rational and effective.  

Zeta Global's technology platform supports a real-time bidding system that handles over 100 billion events every day, a reporting system that aggregates and analyzes terabytes of data in real-time, and a learning system that applies machine learning and artificial intelligence techniques to over 40 petabytes of data. These systems all work in harmony so that Zeta Global can serve the right advertisement to the right user at the right time. 

The Artificial Intelligence and Machine Learning team's work sits at the core of our technology as the key decision-making agent for our systems. We research and develop the algorithms and models that make our software intelligent, as well as design, implement, and maintain the code that powers our production systems. 

Some of the problems we work on include: 

  • Propensity Modelling: How do you use the rich data we have about users to make predictions? How do you handle conversion events that are extremely rare, such as purchasing a car? How do you deal with cold start problems? 

  • Bidding Strategies: How do you translate a click or conversion score into a bid? What if it's a first price auction, second price auction, or auctions with dynamic floors? How do you take into account pacing for hour of day, day of week, and special holidays like Thanksgiving and Christmas? 

  • A/B Testing: How do you ensure that the comparison will be fair? When is a result significant? How do you weigh across many different campaigns? 

  • CLTV & Churn Prediction: How do you define target variable to represent churn event? How do you translate customer journey to useful model features?  

Who you are: 

  • Fluent in Python and SQL 

  • Have ability to write clean, concise, modular and testable code 

  • Have industry experience with developing and deploying practical machine learning models 

  • Experienced with building enterprise grade machine learning and data platforms 

  • Preferably Possessing a Master's degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics etc.). 

  • An excellent oral and written communication in English, passionate about interacting with other engineers to help them understand and use your systems 

  • Independent engineer, capable of owning projects from an idea to design and final implementation 

Nice to have: 

  • Experienced with build automation technologies like Gitlab CI 

  • Experienced with orchestration technologies like Docker and Kubernetes 

  • Experience in building HTTP and GRPC APIs 

  • Experience with services like Spark, HDFS 

  • Experience in an e-commerce or digital advertising technology business 

  • Familiarity with agile and working in a remote & asynchronous team  

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the challenging problems. We are hiring for all levels with compensation and role depending on experience. 

 

SALARY RANGE 

The salary range for this role is $160,000 - $180,000, depending on location and experience. 

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law. 

#LI-YW1