... machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational ...
... machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational ...
You will lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed ...
You will lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed ...
AI/CAD Software Engineer
Atlanta, GA · On-site
This role sits at the intersection of software engineering, machine learning, and RF physics ... Physics-Informed ML: Interest or experience in applying ML to physics-based problems or ...
Quick apply
AI/CAD Software Engineer
Atlanta, GA · On-site
This role sits at the intersection of software engineering, machine learning, and RF physics ... Physics-Informed ML: Interest or experience in applying ML to physics-based problems or ...
This role sits at the intersection of software engineering, machine learning, and RF physics ... Physics-Informed ML: Interest or experience in applying ML to physics-based problems or ...
This role sits at the intersection of software engineering, machine learning, and RF physics ... Physics-Informed ML: Interest or experience in applying ML to physics-based problems or ...
AI/CAD Software Engineer
Atlanta, GA · On-site
This role sits at the intersection of software engineering, machine learning, and RF physics ... Physics-Informed ML: Interest or experience in applying ML to physics-based problems or ...
AI/CAD Software Engineer
Atlanta, GA · On-site
This role sits at the intersection of software engineering, machine learning, and RF physics ... Physics-Informed ML: Interest or experience in applying ML to physics-based problems or ...
Physics Teacher Grades (9-12)
Atlanta, GA · On-site
Designs learning activities to demonstrate the application of physics to everyday existence ... fax machines, and telephone. Travel Requirements Travels to school district buildings and ...
Physics Teacher Grades (9-12)
Atlanta, GA · On-site
Designs learning activities to demonstrate the application of physics to everyday existence ... fax machines, and telephone. Travel Requirements Travels to school district buildings and ...
Physics Teacher Grades (9-12)
Atlanta, GA · On-site
Designs learning activities to demonstrate the application of physics to everyday existence ... fax machines, and telephone. Travel Requirements Travels to school district buildings and ...
Physics Teacher Grades (9-12)
Atlanta, GA · On-site
Designs learning activities to demonstrate the application of physics to everyday existence ... fax machines, and telephone. Travel Requirements Travels to school district buildings and ...
Senior/Principal AI Engineer
Atlanta, GA · On-site
$120K - $166K/yr
Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent P4, Senior Machine Learning/AI Engineer Basic Qualifications * 7+ years experience as a ...
Senior/Principal AI Engineer
Atlanta, GA · On-site
$120K - $166K/yr
Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent P4, Senior Machine Learning/AI Engineer Basic Qualifications * 7+ years experience as a ...
Senior/Principal AI Engineer
$120K - $166K/yr
Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent P4, Senior Machine Learning/AI Engineer Basic Qualifications * 7+ years experience as a ...
Senior/Principal AI Engineer
$120K - $166K/yr
Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent P4, Senior Machine Learning/AI Engineer Basic Qualifications * 7+ years experience as a ...
Staff AI Scientist
Atlanta, GA · On-site
D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline * 4+ years of work experience in AI Science / Machine Learning and related areas
Staff AI Scientist
Atlanta, GA · On-site
D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline * 4+ years of work experience in AI Science / Machine Learning and related areas
Staff AI Scientist
Atlanta, GA · On-site
D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline * 4+ years of work experience in AI Science / Machine Learning and related areas
Staff AI Scientist
Atlanta, GA · On-site
D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline * 4+ years of work experience in AI Science / Machine Learning and related areas
Staff AI Scientist
Atlanta, GA · On-site
D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline * 4+ years of work experience in AI Science / Machine Learning and related areas
Staff AI Scientist
Atlanta, GA · On-site
D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline * 4+ years of work experience in AI Science / Machine Learning and related areas
Data Scientist Sr Lead
Atlanta, GA · On-site +1
Following the machine learning lifecycle, the data scientist should be able to convert the results ... that drive informed decision-making. * Design and develop automated dashboards, performance ...
Data Scientist Sr Lead
Atlanta, GA · On-site +1
Following the machine learning lifecycle, the data scientist should be able to convert the results ... that drive informed decision-making. * Design and develop automated dashboards, performance ...
Data Scientist Sr Lead
Atlanta, GA · On-site +1
Following the machine learning lifecycle, the data scientist should be able to convert the results ... that drive informed decision-making. * Design and develop automated dashboards, performance ...
Data Scientist Sr Lead
Atlanta, GA · On-site +1
Following the machine learning lifecycle, the data scientist should be able to convert the results ... that drive informed decision-making. * Design and develop automated dashboards, performance ...
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 ...
Quick apply
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 ...
... informed decision-making across the organization.This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal ...
... informed decision-making across the organization.This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal ...
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
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
... informed decision-making across the organization.This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal ...
... informed decision-making across the organization.This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal ...
Senior Data Scientist
Atlanta, GA · On-site
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 ...
Senior Data Scientist
Atlanta, GA · On-site
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 ...
Data Scientist 2 - 4P/114
Atlanta, GA · On-site
... 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.
Data Scientist 2 - 4P/114
Atlanta, GA · On-site
... 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.
Physics Informed Machine Learning information
See Snellville, GA salary details
$4.56 - $6.14
0% of jobs
$6.14 - $7.73
0% of jobs
$7.73 - $9.31
0% of jobs
$9.31 - $10.89
24% of jobs
$10.96 is the 25th percentile. Wages below this are outliers.
$10.89 - $12.47
16% of jobs
$12.47 - $14.06
0% of jobs
$14.06 - $15.64
0% of jobs
$15.64 - $17.22
0% of jobs
$17.22 - $18.80
0% of jobs
The median wage is $19.18 / hr.
$18.80 - $20.39
40% of jobs
$20.39 - $21.97
19% of jobs
$4
$17
$21
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 Snellville, GA is $17.30, according to ZipRecruiter salary data. Most workers in this role earn between $10.77 and $21.97 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 are popular job titles related to Physics Informed Machine Learning jobs in Snellville, GA?
For Physics Informed Machine Learning jobs in Snellville, GA, the most frequently searched job titles are:
What cities near Snellville, GA are hiring for Physics Informed Machine Learning jobs?
Cities near Snellville, GA with the most Physics Informed Machine Learning job openings:
Full-time
Re-posted 8 days ago
McKinsey & Company rating
8.5
Based on 22 frontline employees who took The Breakroom Quiz
20th of 72 rated business consultants
Job description
Job Summary:
McKinsey & Company is a global management consulting firm that focuses on driving lasting impact and building long-term capabilities with clients. They are seeking a Specialist in Robotics and Physical AI who will apply expertise in physical sciences and machine learning to solve complex engineering challenges for industrial clients, leading technical workstreams and developing innovative solutions.
Responsibilities:
• Apply deep expertise in physical sciences, computational engineering, machine learning, and physics-based modeling to help leading industrial clients tackle their most complex engineering challenges.
• Lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational insights into strategic recommendations and solutions that deliver measurable impact for clients.
Qualifications:
Required:
• Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply
• Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++)
• Demonstrated fluency with statistical sampling, machine learning, and data science techniques
• Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion
• Proficient in rational decision making based on data, facts, and logical reasoning
• Ability to create work product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times
• Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., manufacturing facilities, etc.)
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
Preferred:
• Simulation experience, Pytorch, ML/AI/Data Science a plus
Company:
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions. Founded in 1926, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.
McKinsey & Company is a global management consulting firm that focuses on driving lasting impact and building long-term capabilities with clients. They are seeking a Specialist in Robotics and Physical AI who will apply expertise in physical sciences and machine learning to solve complex engineering challenges for industrial clients, leading technical workstreams and developing innovative solutions.
Responsibilities:
• Apply deep expertise in physical sciences, computational engineering, machine learning, and physics-based modeling to help leading industrial clients tackle their most complex engineering challenges.
• Lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational insights into strategic recommendations and solutions that deliver measurable impact for clients.
Qualifications:
Required:
• Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply
• Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++)
• Demonstrated fluency with statistical sampling, machine learning, and data science techniques
• Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion
• Proficient in rational decision making based on data, facts, and logical reasoning
• Ability to create work product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times
• Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., manufacturing facilities, etc.)
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
Preferred:
• Simulation experience, Pytorch, ML/AI/Data Science a plus
Company:
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions. Founded in 1926, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.
What McKinsey & Company employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About McKinsey
Sourced by ZipRecruiter
In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.
Industry
Business management consulting
Company size
10,000+ Employees
Headquarters location
New York, NY, US