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Generative Ai Physics Jobs (NOW HIRING)

Peraton

AI Engineering Support SME

Washington, DC · On-site

This effort will support strategic AI initiatives focused on automation, analytics, generative AI ... Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Physics, Artificial ...

C3 AI

Vice President, Marketing

Redwood City, CA · On-site

As we enter the next phase of growth driven by Generative and Agentic AI, marketing needs to move ... Physics, or equivalent demonstrated ability to grasp and communicate complex technical concepts is ...

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Generative Ai Physics information

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$11K

$61.2K

$94.5K

How much do generative ai physics jobs pay per year?

As of Jul 3, 2026, the average yearly pay for generative ai physics in the United States is $61,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $64,500.00 per year, depending on experience, location, and employer.

What is the difference between Generative Ai Physics vs Data Scientist?

AspectGenerative Ai PhysicsData Scientist
Required CredentialsPhysics degree, AI/ML knowledgeStatistics, Computer Science, Data Analysis
Work EnvironmentResearch labs, tech companies, academiaBusiness, tech firms, consulting
Industry UsagePhysics simulations, AI model developmentData analysis, predictive modeling
Common Search IntentUnderstanding AI in physics researchAnalyzing data trends, insights

Generative Ai Physics focuses on applying AI techniques to physics problems, often involving simulations and model development. Data Scientists analyze data to extract insights across various industries. While both roles require analytical skills, Generative Ai Physics emphasizes physics knowledge combined with AI expertise, whereas Data Scientists focus on data analysis and interpretation.

What are the key skills and qualifications needed to thrive as a Generative AI Physics Specialist, and why are they important?

To thrive as a Generative AI Physics Specialist, you need a solid background in physics, mathematics, and computer science, often with an advanced degree such as a Master's or Ph.D. in a related field. Expertise in machine learning frameworks (like TensorFlow or PyTorch), programming languages (such as Python), and familiarity with computational physics tools are typically required. Strong analytical thinking, creativity, and clear communication skills help in developing innovative AI models and collaborating with interdisciplinary teams. These skills enable the successful integration of AI techniques with physical systems, driving progress in research and practical applications.

What is a Generative AI Physicist?

A Generative AI Physicist is a professional who applies generative artificial intelligence techniques to solve complex problems in physics. They use models such as neural networks and deep learning algorithms to simulate, predict, or generate new physical phenomena and data. This role often involves interdisciplinary work combining expertise in physics, machine learning, and computer science. Generative AI Physicists contribute to advancements in scientific research, material discovery, and the automation of experimental design.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, AI director, or executive role, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing or managing AI systems and projects.

What jobs can you get with a generative AI certification?

A generative AI certification can qualify you for roles such as AI engineer, machine learning engineer, data scientist, or research scientist, where skills in AI model development, programming, and data analysis are essential. These positions often involve developing and deploying AI models, working with tools like Python and TensorFlow, and require a strong understanding of machine learning concepts.

How does a Generative AI Physics specialist typically collaborate with other departments in interdisciplinary research projects?

As a Generative AI Physics specialist, you will often work closely with data scientists, software engineers, and domain experts from various fields such as materials science, engineering, or biomedical research. Effective collaboration involves translating complex physical models into machine learning frameworks, sharing insights to refine algorithms, and integrating AI-generated results into broader research initiatives. Regular interdisciplinary meetings and shared project management tools are commonly used to ensure alignment and foster innovation. This collaborative environment not only broadens your technical skills but also enhances your ability to communicate complex concepts to diverse teams.

Which 3 jobs will survive AI?

Generative AI Physics professionals, data scientists, and AI ethics specialists are likely to remain in demand as their roles require complex problem-solving, domain expertise, and ethical oversight that are difficult for AI to fully replicate. These jobs involve critical thinking, creativity, and nuanced understanding of physics and AI applications. Skills in programming, machine learning, and domain-specific knowledge will enhance job security in these fields.

What is the highest paid physics job?

In the field of physics, roles such as physics research director, senior data scientist specializing in physics-based models, or physics consultant in industries like aerospace, defense, and technology tend to have the highest salaries. These positions often require advanced degrees, specialized skills in computational modeling or AI, and extensive experience, with salaries reaching into the high six or seven figures annually.
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What cities are hiring for Generative Ai Physics jobs? Cities with the most Generative Ai Physics job openings:
What states have the most Generative Ai Physics jobs? States with the most job openings for Generative Ai Physics jobs include:
What job categories do people searching Generative Ai Physics jobs look for? The top searched job categories for Generative Ai Physics jobs are:
Generative Ai Physics jobs near you
Infographic showing various Generative Ai Physics job openings in the United States as of June 2026, with employment types broken down into 57% Full Time, 15% Part Time, 2% Temporary, and 26% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $61,160 per year, or $29.4 per hour.
Data Scientist / AI Scientist - AI for Aging Research - Zhou lab

Data Scientist / AI Scientist - AI for Aging Research - Zhou lab

Buck Institute for Research on Aging

Novato, CA • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Summary:
The Buck Institute for Research on Aging is seeking a Data Scientist / AI Scientist to support a research program focused on the fundamental biology of aging through the development and application of advanced artificial intelligence approaches. This role will contribute to efforts that use imaging, quantitative analysis, foundation models, and modern AI to better understand the biological mechanisms of aging and identify new ways to measure, predict, and potentially intervene in those processes.
Responsibilities:
• Develop and apply advanced AI and machine learning methods to research questions in aging biology.
• Design, build, and optimize computational approaches for large-scale image and biological data analysis.
• Build and apply models in areas such as computer vision, image recognition, segmentation, deep learning, generative AI, diffusion models, and multimodal or foundation-model approaches.
• Analyze complex imaging datasets and extract biologically meaningful patterns and insights.
• Collaborate closely with experimental and computational researchers to integrate AI methods with biological research.
• Contribute to the design of new research directions at the intersection of AI, imaging, and aging biology.
• Contribute to a collaborative and intellectually engaged research environment.
Qualifications:
Required:
• BS, MS, or PhD in computer science, data science, artificial intelligence, computational biology, bioengineering, applied mathematics, physics, or a related quantitative field
• Strong experience in one or more of the following areas: Computer vision, Image recognition and segmentation, Deep learning, Generative AI, Diffusion models, Multimodal or foundation-model approaches
• Demonstrated experience developing computational methods and analyzing complex datasets
• Strong quantitative, analytical, and programming skills
• Ability to work independently and collaboratively in a multidisciplinary research setting
• Strong verbal and written communication skills
Preferred:
• Experience with biological, biomedical, or microscopy imaging data
• Experience working in interdisciplinary research environments
• Interest in applying cutting-edge AI approaches to fundamental questions in biology and aging.
• Publication record, open-source contributions, relevant research, project, or code portfolio
Company:
Novato’s Buck Institute is the largest independent scientific institute in the Bay Area. Founded in 1999, the company is headquartered in Novato, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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