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Physics Informed Machine Learning Jobs in Decatur, GA

EE/CS Patent Agent

Atlanta, GA ยท 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 ...

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 ...

... 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 ...

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 ...

... informed decision-making and driving business growth. Within our Technology Consulting practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

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 ...

Computer Science, Physics, Mathematics, Engineering) Preferred Qualifications 3 or more years of ... Masters, MBA, JD, MD) Experience in applying machine learning algorithms to real world data You ...

... applied physics, or related technical backgrounds. The role requires engineering judgment ... Experience applying machine learning, AI, or advanced data-analysis methods to large engineering ...

CTIO AI Engineering Manager

Atlanta, GA ยท On-site

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

... applied physics, or related technical backgrounds. The role requires engineering judgment ... Experience applying machine learning, AI, or advanced data-analysis methods to large engineering ...

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Physics Informed Machine Learning information

See Decatur, GA salary details

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

As of Jun 18, 2026, the average hourly pay for physics informed machine learning in Decatur, GA is $19.59, according to ZipRecruiter salary data. Most workers in this role earn between $12.21 and $24.86 per hour, depending on experience, location, and employer.

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.

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 popular job titles related to Physics Informed Machine Learning jobs in Decatur, GA? For Physics Informed Machine Learning jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Decatur, GA look for? The top searched job categories for Physics Informed Machine Learning jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Physics Informed Machine Learning jobs? Cities near Decatur, GA with the most Physics Informed Machine Learning job openings:
EE/CS Patent Agent

EE/CS Patent Agent

MNF Global

Atlanta, GA โ€ข On-site

$140K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago


Job description

EE/CS Patent Agent - ATL/Other Locations

Join a Top Intellectual Property Law Firm Group:

A leading law firm is actively seeking a Patent Agent to join its Intellectual Property Practice Group. This is an extraordinary opportunity to work on cutting-edge technologies in electrical, and software-related fields. The ideal candidate will have at least 2 years of experience in patent preparation and prosecution, along with a degree in electrical engineering, computer engineering, software engineering, computer science, or physics.

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

This opportunity is presented by MNF Global legal search firm, a trusted legal search firm operating for 19 years nationally. www.mnfglobal.com

Role and Responsibilities:


  • Collaborate with top innovators in drafting and prosecuting patent applications.

  • Contribute to patent litigation and client counseling.

  • Apply technical expertise and legal writing skills in a dynamic legal environment.


Professional Growth and Development:

  • Significant career advancement opportunities.

  • A firm culture that fosters continuous learning and innovation.

  • Seize this chance to elevate your career in a firm that invests in technology, professional development, and employee well-being.


    Apply Now For This Opportunity!




Requirements
  • Degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or related fields.

  • 2+ years of experience in drafting and prosecuting U.S. and international patent applications in AI, ML, Semiconductors, autonomous driving, wireless telecom including 5G.

  • Eligibility to practice before the USPTO.

  • Strong academic credentials, writing ability, interpersonal, and communication skills.



Benefits

Anticipated Compensation and Benefits:


  • Competitive base salary ranging from $140,000 to $240,000, commensurate with qualifications, skills, location, and relevant experience.

  • Comprehensive benefits package, including health, dental, and vision insurance, plus various wellness initiatives.

  • Retirement planning options.

  • Bonus potential and commission opportunities.

  • Generous workplace policies.