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Artificial Intelligence Machine Learning Physics Jobs

Apple

Machine Learning Engineer, Proactive

Cupertino, CA

$212K - $318K/yr

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data ...

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Artificial Intelligence Machine Learning Physics information

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

As of Jul 2, 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.

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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 June 2026, with employment types broken down into 76% Full Time, 18% Part Time, and 6% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.
Artificial Intelligence/Machine Learning Engineer, Senior

Artificial Intelligence/Machine Learning Engineer, Senior

Booz Allen Hamilton

Annapolis Junction, MD • On-site

$106K - $146K/yr

Full-time

Posted 9 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants

Job description

Job Summary:
Booz Allen Hamilton is seeking a Senior Artificial Intelligence/Machine Learning Engineer to support cyber and intelligence analysts by designing and implementing AI-enabled capabilities. This role involves collaborating with various stakeholders to capture workflows and streamline analytical tasks for informed decision-making in high-tempo environments.
Responsibilities:
• Work directly with mission users to capture workflows, document operational decision points, and translate them into effective AI‑enabled capabilities.
• Design and implement solutions that may include LLM‑powered workflows, agent‑based automation, or hybrid approaches depending on mission needs.
• Collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments.
Qualifications:
Required:
• Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
• Experience designing or implementing LLM‑based or agentic workflows, including multi‑step reasoning, tool integrations, and orchestration
• Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
• Experience with Python and at least one AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI
• Experience with AWS or Azure, including work in restricted or classified environments
• TS/SCI clearance with a polygraph
• Bachelor’s degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments or 6+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree
Preferred:
• Experience engineering AI capabilities in on‑premise or multi‑classification environments
• Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp
• Experience with cyber or intelligence workflows, operational data types, or mission‑oriented analytical processes
• Master’s degree in AI, ML, Data Science, Cybersecurity, or Engineering
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

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Hours and flexibility

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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