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Artificial Intelligence Machine Learning Physics Jobs

Apple

Machine Learning Engineer, Proactive

Cupertino, CA · On-site

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 ...

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

As of Jun 5, 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 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 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 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
Artificial Intelligence/Machine Learning Engineer, Senior

Artificial Intelligence/Machine Learning Engineer, Senior

Everwatch

Annapolis Junction, MD

$108.17 - $146.63/hr

Other

Posted 4 days ago

Job description

Job TitleArtificial Intelligence/Machine Learning Engineer, SeniorOverview

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions.  We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.

EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.

Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Responsibilities

Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.

You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.

You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.

Join us. The world can't wait.

Qualifications

You Have: 

  • Experience with architecting and delivering enterprise-scale AI/ML solutions in professional or mission-oriented environments
  • Experience with large language models (LLMs), generative AI systems, and agentic AI development, including production deployment
  • Experience with designing and implementing end-to-end machine learning pipelines, including data engineering, model training, evaluation, deployment, and monitoring
  • Experience with providing technical leadership and mentoring engineering teams across complex development efforts
  • Knowledge of Python for AI/ML development, data engineering, and pipeline construction at an expert level
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders
  • TS/SCI clearance with a Polygraph
  • Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field with 10+ years of relevant experience; Master's degree with 7+ years; or PhD with 4+ years of relevant AI/ML or data science experience

Nice If You Have: 

  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Experience with cloud platforms such as AWS, Azure, or GCP, as well as distributed computing frameworks
  • Experience with containerization and orchestration tools such as Docker and Kubernetes
  • Experience with designing and implementing MLOps platforms, including end-to-end model lifecycle management and automated retraining systems
  • Experience with natural language processing (NLP) techniques, including topic modeling, text classification, named entity recognition, and semantic/vector search
  • Experience with multi-modal data processing across text, imagery, speech, and video modalities
  • Experience with contributing to technical proposals, RFP responses, and government white papers
  • Experience with supporting DoD or Intelligence Community programs
  • Knowledge of agentic AI frameworks, multi-agent architectures, and intelligent orchestration patterns
  • Knowledge of security requirements and compliance frameworks for AI/ML systems operating in government environments
  • Ability to apply AI/ML technologies within secure government and mission-focused environments

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required. 

Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $108.17 to $146.63 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.

Clearance LevelTS/SCI CIPJob LocationsUS-MD-Annapolis JunctionSkillsAI/ML, LLM, API, PythonMinMaxEmployment Type: OTHER

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