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Physics Informed Machine Learning Jobs in Atlanta, GA

Deloitte

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100.50K - $138K/yr

... Physics, etc.) or equivalent experience • 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment • 4+ ...

New

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

... informed decision-making across the organization. This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal ...

Apex Systems

Signal Processing Engineer

Atlanta, GA

$95K - $160K/yr

A Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Mathematics, or a ... Expertise in electromagnetics, modeling & simulation, machine learning/artificial intelligence ...

STR

Principal Signal Processing Researcher

Atlanta, GA

$206K - $284K/yr

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 ...

Deloitte

Data Science Consultant

Atlanta, GA

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. * At least 2+ years of industry experience outside ...

Deloitte

Data Science Consultant

Atlanta, GA · On-site

A Bachelor's in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. * At least 2+ years of industry experience outside ...

STR

Principal Signal Processing Researcher

Atlanta, GA · On-site

$206K - $284K/yr

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 ...

STR

Principal Signal Processing Researcher

Atlanta, GA

$206K - $284K/yr

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 ...

AEG

Associate Data Scientist - Originations

Atlanta, GA · On-site

$85K - $115K/yr

... machine learning. * Strong technical or math/statistics background. Computer science, statistics, math, physics, economics, etc. * Strong coding skills and ability to code without being fully ...

Apex Systems

Communications Engineer

Atlanta, GA

$92K - $160K/yr

A Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Mathematics, or a ... Expertise in signal processing, modeling & simulation, machine learning, or electronic warfare ...

Hertz

VP Applied Data & Analytics

Atlanta, GA

$310K/yr

... informed culture. The salary range for this position begins at $310,000. What You'll Do: Data ... Advanced Analytics & Machine Learning * Oversee development and deployment of predictive and ...

Hertz

VP Applied Data & Analytics

Atlanta, GA · On-site

$310K/yr

... informed culture. The salary range for this position begins at $310,000. What You'll Do: Data ... Advanced Analytics & Machine Learning * Oversee development and deployment of predictive and ...

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

Your work will address core supply chain problems where machine learning delivers measurable ... Experience with feature engineering for structured and tabular data, including domain-informed ...

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

Your work will address core supply chain problems where machine learning delivers measurable ... Experience with feature engineering for structured and tabular data, including domain-informed ...

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

As of May 29, 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 job?

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 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 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.
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Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Atlanta, GA as of May 2026, with employment types broken down into 67% Full Time, 11% Part Time, and 22% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $40,131 per year, or $19.3 per hour.
Senior AI Engineer - SFL Scientific

Senior AI Engineer - SFL Scientific

Deloitte

Atlanta, GA • On-site

$100.50K - $138K/yr

Full-time

Posted yesterday

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Job Summary:
Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a Deloitte Business. In this role, you will develop AI infrastructure and deployment services, collaborating with cross-functional teams to design and implement scalable data architecture solutions for machine learning applications.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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