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Artificial Intelligence Machine Learning Physics Jobs

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

As of Jul 22, 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 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 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 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.

More about Artificial Intelligence Machine Learning Physics jobs
What cities are hiring for Artificial Intelligence Machine Learning Physics jobs? Cities with the most Artificial Intelligence Machine Learning Physics job openings:
What states have the most Artificial Intelligence Machine Learning Physics jobs? States with the most job openings for Artificial Intelligence Machine Learning Physics jobs include:
Infographic showing various Artificial Intelligence Machine Learning Physics job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.
Artificial Intelligence and Machine Learning Subject Matter Expe with Security Clearance

Artificial Intelligence and Machine Learning Subject Matter Expe with Security Clearance

Koniag Government Services

Arlington, VA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Koniag Professional Services, LLC, a Koniag Government Services company, is seeking an Artificial Intelligence and Machine Learning Subject Matter Expert with a TS/SCI security clearance to support KPS and our government customer at the Pentagon, Arlington, VA. We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more. Koniag Professional Services (KPS)currently has an opening for an Artificial Intelligence and Machine Learning Subject Matter Expert for the Department of War, Office of the Under Secretary of War for Research and Engineering (OUSW (R&E)), CDAO Maven Smart Systems (MSS) Program Office. Essential Functions, Responsibilities & Duties may include, but are not limited to: * Assist Government Clients with planning and overseeing AI/ML efforts on both a small and large scale. * Provides Subject Matter Expertise for the design, development or selection, and deployment of artificial intelligence technologies and tools in support of the Government. * Provide technical consultative advisement for all artificial intelligence and machine learning technology systems, processes, software design and development projects and initiatives. * Leverages commercial industry expertise for the development or selection and delivery of artificial intelligence and machine learning technology solutions for operational users. * Provides advisement and consultation on the Client's artificial intelligence and machine learning strategy for technology platforms, partnerships, and external relationships. * Applies extensive knowledge of artificial intelligence, machine learning, and data science concepts, methodology, and techniques to design and enhance the design of existing technical specifications that need to be deployed for artificial intelligence and machine learning technology solutions. * Provides consultation and advisement on the development, engineering, and integration of artificial intelligence and machine learning-based technological capabilities. * Provide expertise in the implementation and engineering support of artificial intelligence and machine learning systems to include solving relevant technical and programmatic problems and assessing the technical feasibility of commercial solutions. * Collaborates with other Technical Experts across the Client's internal and external stakeholders to identify new mission-focused problems that can be solved with artificial intelligence and machine learning capabilities. Leverages best practice research to develop and recommend artificial intelligence and machine learning technology solutions and business cases. * Provides technical expertise to assist the Client and their internal and external stakeholders with identifying and applying the operational value and outcomes of artificial intelligence and machine learning technologies across their organizations. * Prepares technical documentation, white papers, briefings, and implementation plans in support of the Government. * Conducts exercise planning and execution to evaluate software functionality and performance. * Plans and participates in user engagement events with military personnel and industry representatives. * Generates key performance indicators, measures of performance, and success criteria for use in software testing and validation. * Supports scenario development based on understanding of adversarial forces and current Joint Military Doctrine for phased product development, demonstration, and experimentation. * Responsible for the technical integrity of work performed and deliverables associated with the systems engineering area of responsibility. * Assist other team members in other specialties as needed to accomplish the overall mission. Requirements: * 15+ years of relevant experience * Experience with or a strong understanding of Military Operations Center (MOC, COC, CEC) operations and procedures. * Knowledge of and experience with the Find, Fix, Track, Target, Engage, Assess (F2T2EA) targeting process. * Experience with Joint Military exercise planning and execution. * Strong understanding of Joint U.S. Military Doctrine, military technologies, and current operations. * Strong understanding of major U.S. adversaries, adversarial doctrine, and military technology. * Experience with quantitative and qualitative technical evaluation of software and services. * Deep systems engineering comprehension of the state of the art in large and small AI/ML implementations and the respective best practices and challenges. * Commercial industry experience in developing Artificial Intelligence and Machine Learning technology strategies and solutions for the Federal government; a state or local government; or a large corporation. * Extensive knowledge of artificial intelligence, machine learning, and data science concepts, methodology, techniques, and technologies * Experience defining and developing new artificial intelligence and machine learning technology solution and tool. * Experience with DoD Data Policy, FedRAMP Impact Levels, and management of classified data sets. * Experience managing complex technology projects for cross-functional teams * Strong writing and briefing skills to present technical information clearly to non-technical audiences. * Demonstrates excellent oral and written communication skills, a high level of integrity, critical thinking, and leadership * Must be a self-starter that can recognize needs and act with little to no guidance * Advanced MS Word, PowerPoint, Excel, and Outlook application skills Education: * Bachelors Degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Engineering, Software Engineering, Mathematics, Operations Research, or related field. Clearance Requirement: * To be considered, must have a Current/Active TS/SCI security clearance Office Location and Travel: * Arlington, VA * Occasional travel in support of the Government Customer with advance notification Our Equal Employment Opportunity Policy The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment. The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at or by calling 703-488-9377 to request accommodations. Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com. Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352