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Physics Informed Machine Learning Jobs in Cumming, GA

Falcomm

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 ...

Raspberry Pi Foundation

Learning Manager

Atlanta, GA · On-site

$72K - $78K/yr

... machine learning applications are already changing many aspects of our lives. Young people who understand how AI works will be better equipped to engage with the world around them, make informed ...

Raspberry Pi Foundation

Learning Manager

Atlanta, GA · On-site +1

$72K - $78K/yr

... machine learning applications are already changing many aspects of our lives. Young people who understand how AI works will be better equipped to engage with the world around them, make informed ...

Workday, Inc.

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 ...

Workday

Senior/Principal AI Engineer

Atlanta, GA

$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 ...

AT&T

Lead Data Scientist

Atlanta, GA · On-site

... analysis, machine learning, and big data technologies to drive informed decision-making and ... or Physics. 5+ years of related experience. Certification is required in some areas. Relevant ...

Worldpay, Inc.

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 ...

FIS

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 ...

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 ...

Zeta Global

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 ...

Zeta Global

Senior Data Scientist

Atlanta, GA · On-site

$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 ...

Worldpay, Inc.

Data Scientist Lead

Atlanta, GA · On-site

... drive informed decision-making. * Stay current on industry trends in machine learning, AI, Generative AI, and financial services analytics; bring relevant innovations to the team. What you bring:

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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.

What are popular job titles related to Physics Informed Machine Learning jobs in Cumming, GA?

For Physics Informed Machine Learning jobs in Cumming, GA, the most frequently searched job titles are:

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Specialist - Robotics and Physical AI

McKinsey & Company

Atlanta, GA • On-site

Full-time

Re-posted 26 days ago

Key responsibilities

  • Lead technical workstreams on client engagements by building multi-physics simulation frameworks and digital twins.

  • Develop surrogate and machine learning models, applying physics-informed machine learning to engineering systems.

  • Deploy scalable production tools on HPC infrastructure and translate computational insights into strategic recommendations for clients.

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

21st of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will 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.
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 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.
You will be part of the Robotics and Physical AI team within our Advanced Industries Sector. This team is building a first-of-its-kind physics AI capability.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • 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
  • Simulation experience, Pytorch, ML/AI/Data Science a plus
  • 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

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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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

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