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Physics Informed Machine Learning Jobs in Cumming, GA

Pwc

CTIO AI Engineering Manager

Atlanta, GA

$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 ...

Pwc

CTIO - AI Engineer- Senior Manager

Atlanta, GA

$91K - $321K/yr

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... the implementation of machine learning algorithms and predictive modeling techniques ...

Pwc

AI Solutions Engineering Delivery Lead

Atlanta, GA · On-site

$98K - $129K/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 ...

Workday

Data Scientist - AI Platform

Atlanta, GA

The bulk of the work will be in machine learning (ML) modeling, management and problem analysis ... Alternate experience and education in equivalent areas such as economics, engineering or physics ...

Workday, Inc.

Data Scientist - AI Platform

Atlanta, GA · On-site

The bulk of the work will be in machine learning (ML) modeling, management and problem analysis ... Alternate experience and education in equivalent areas such as economics, engineering or physics ...

Phase2 Technology

Data Scientist

Atlanta, GA · On-site

$99 - $225/hr

... informed decisions. As a technical leader,you'llidentifynew opportunities to use data science ... Experience with Machine Learning, AI, or NLP * Experience with visualization packages ...

Booz Allen Hamilton

Data Scientist

Atlanta, GA · On-site

$99K - $225K/yr

... make informed decisions. As a technical leader, you'll identify new opportunities to use data ... Experience with Machine Learning, AI, or NLP * Experience with visualization packages, including ...

Booz Allen Hamilton, Inc.

Data Scientist

Atlanta, GA · On-site

$99K - $225K/yr

... make informed decisions. As a technical leader, you'll identify new opportunities to use data ... Experience with Machine Learning, AI, or NLP * Experience with visualization packages, including ...

Booz Allen Hamilton, Inc.

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

... make informed decisions. As a technical leader, you'll identify new opportunities to use data ... Experience with Machine Learning, AI, or NLP * Experience with visualization packages, including ...

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Physics Informed Machine Learning information

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

As of Sep 7, 2026, the average hourly pay for physics informed machine learning in Cumming, GA is $17.90, according to ZipRecruiter salary data. Most workers in this role earn between $11.15 and $22.74 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.

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Robotics Engineer ( Full-time ) Atlanta, GA - DK

Central Business Solutions

Atlanta, GA • On-site

$140K - $150K/yr

Full-time

Re-posted 7 days ago

Job description

Job Purpose:
A robotics engineer develops the hardware and/or software that enables electro-mechanical systems to perform a series of tasks with little or no human involvement.
The robotics engineer can develop the mechanical mechanisms that form the robot, integrate sensors such as cameras and LIDAR systems into the system, or develop the algorithms to allow the robot or autonomous system to sense its environment, plan its actions, and then execute the plan.
This position contributes to the fundamental and applied understanding of robotic and autonomous systems.
The robotics researcher develops the advanced autonomous planning, coordination, perception and control algorithms that enable a mobile robot or team of robots to operate in dynamic environments.
The engineer can also interface with perceptual, actuation, communication and other systems to enable the robot to sense, plan actions, coordinate actions according to mission plans and execute the plans.
This position may incorporate a fundamental understanding of robotic control and path planning as well as an applied understanding of robotics systems.
Key Responsibilities:
  • Perform signal processing tasks with more limited direction from supervisor.
  • Develop expertise in specific areas.
  • Contribute to white papers and proposals with supporting background or data analysis.
  • Contribute to technical reports/presentations of projects, journal articles, and conference presentations.

Additional Responsibilities:
  • Perform autonomous robotic algorithm development and validation tasks with limited guidance.
  • Perform rapid simulation development, prototyping, and field-testing.
  • Generate research reports, publication, proposals, and briefs for internal and external customers.
  • Serve as technical lead on programs, driving the development and implementation of novel engineering solutions.
  • Provide technical guidance and mentorship to junior research faculty.

Required Minimum Qualifications:
  • Candidates currently enrolled in an accredited degree program relevant to this position will be considered. The candidate must have a graduation date of no later than August 2026.
  • Excellent written and verbal communication skills.
  • The ideal candidate will have hands-on experience with state-of-the-art algorithms on real-world mobile robot systems, including field test experimentation or robotic competitions.
  • Experience with C++, Python, ROS, Linux, and/or robotic simulation engines like Gazebo and SCRIMMAGE.

Preferred Qualifications:
  • Active Secret Clearance.
  • A strong history of publication or hardware-implementation of advanced algorithms demonstrating the ability to perform independent research is desired.
  • Experience with fast prototyping in Python and C++ for real-time operation on a robot in real-world environments.
  • Experience in one or more of the following is desirable:
    • Multi-robot teams.
    • Path planning and navigation.
    • Behavior-based robotics.
    • Vehicle Control and State Estimation.
    • Machine learning for robotic control.

Travel Requirements:
  • 10% - 25% travel.

Education and Length of Experience:
  • 2-5 years of related experience with a Bachelor's degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, Aerospace Engineering, Mathematics, Physics, or any related field.
  • 0-3 years of related experience with a Masters' degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, Aerospace Engineering, Mathematics, Physics, or any related field.
  • 0 years of related experience with a Ph.D. in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, Aerospace Engineering, Mathematics, Physics, or any related field.

Clearance Type Required:
Candidates must be able to obtain and maintain an active security clearance.
Skills and Certifications [note: bold skills and certification are required]
C/C++
Python
Gazebo and SCRIMMAGE
Security Clearance Required: No
Visa Candidate Considered: No
Compensation:
Base Salary - USD $140,000 to $150,000
Central Business Solutions, Inc(A Certified Minority Owned Organization)
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Central Business Solutions, Inc
37600 Central Court Suite 214 Newark CA, 94560
Phone: (833)247-8800 Fax: (510)-740-3677
Web: http://www.cbsinfosys.com

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