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How much do artificial intelligence machine learning physics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for artificial intelligence machine learning physics in the United States is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 per hour, depending on experience, location, and employer.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are growing fields with high demand for skilled professionals, including roles like AI engineers and data scientists. These careers often require strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. They offer competitive salaries and opportunities for innovation across various industries.
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Artificial Intelligence Machine Learning Physics jobs near you
Infographic showing various Artificial Intelligence Machine Learning Physics job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,731 per year, or $20.1 per hour.

Director, Machine Learning-Artificial Intelligence

Archer Daniels Midland

Erlanger, KY

Full-time

Posted 15 days ago

ADM rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

76th of 366 rated logistics

Job description

Director, Machine Learning-Artificial Intelligence, Archer Daniels Midland Company, Erlanger, KY.
Provide guidance and hands-on development of machine learning solutions supporting data science
initiatives leveraging the Azure ecosystem and partner integrations. Research, design, implement, and
deploy full-stack scalable artificial intelligence and machine learning solutions to address various business
challenges. Design and develop immersive and interactive AR, VR, and XR applications that meet project
specifications and user requirements, while ensuring high performance, scalability, and usability. Design
and develop Generative AI solutions using fine-tuning, embeddings, with commercial and open-source
large language models. Lead the development of artificial intelligence initiatives in an environment rich in
complex biological, environmental, operational, and business data. Establish and manage collaborations
engaging business units to develop novel data analytic approaches and integrated decision science
solutions. Evaluate in-depth market analysis and drive the business case for optimization of existing
products and creation of next generation AI products. Support the development of AI product roadmaps
and timelines.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.
MINIMUM REQUIREMENTS:
Bachelor's degree or foreign equivalent degree in Machine Learning, Data Science, Statistics, Applied
Mathematics, Physics, Computer Science, Bioinformatics, Business Analytics, or a related field, and seven
(7) years of post-bachelor's, progressive, related work experience.
Must have five (5) years of experience with/in:
Applying artificial intelligence, machine learning, and architecture skills to solve commercial,
financial, and manufacturing problems;
Machine learning techniques (e.g., clustering, decision tree learning, and/or artificial neural
networks) and Machine Learning lifecycle from beginning to end;
Working with enterprise scale databases, with demonstrated ability to navigate ambiguous
architectures and data sources;
Azure cloud services;
Database (SQL) knowledge, database management, business intelligence, enterprise performance
management, data mining, and systems administration;
Expertise in middle tier/backend technologies such as .NET, relational and/or non-relational
(NoSQL) databases, web services, and RESTful concepts; and
Working knowledge of BI Governance, Data Governance, Master Data Management, and Data
Quality Management.
50% telecommuting permitted.
To apply, mail resume to: Christina Hetzer, ADM; PO BOX 1470, Decatur, IL 62525 (reference: KY0130)

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