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Generative Ai Physics Jobs (NOW HIRING)

MSD

Sr. Scientist, Generative Protein Design

Cambridge, MA · On-site

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Integrate AI/ML protein design methods with structural biology and high-throughput experimental ... Ph.D. in Biochemistry, Computational Biology, Protein Engineering, Physics, Bioengineering ...

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

We are seeking an AI Engineer to work on a Generative AI initiative to join our team. The ideal ... Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or ...

EVOZYNE INC

Applied AI Research Fellow

Chicago, IL · On-site

Our platform, EvoGen, is both generative and predictive. Rather than focusing on structure alone ... Exposure to interdisciplinary work (e.g., biology, chemistry, physics, or other scientific domains ...

Covalent Corp.

Senior Software & AI Engineer

Sunnyvale, CA · On-site

$110K - $190K/yr

Design and deploy deep learning and generative AI systems in production * Build LLM-powered ... A background in Physics, Materials Science, or Engineering alongside their CS skills. * A portfolio ...

Covalent

Senior Software & AI Engineer

Sunnyvale, CA · On-site

$110 - $190/hr

Design and deploy deep learning and generative AI systems in production * Build LLM-powered ... A background in Physics, Materials Science, or Engineering alongside their CS skills. * A portfolio ...

Peraton

AI Engineering Support SME

Washington, DC · On-site

$135K - $216K/yr

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 ...

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 ...

Modernizing Medicine, Inc.

AI & ML Researchers

Boca Raton, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct research in large language models, generative AI, reinforcement learning, and AI agents ... PhD in Computer Science, Electrical Engineering, Mathematics, Physics, or a related quantitative ...

Ironclad Defense Works

Data Scientist / AI Engineer

Norfolk, VA · On-site

$115 - $130/hr

  • Medical

  • Dental

  • Retirement

  • PTO

The role requires strong hands-on experience with generative AI, large language models (LLMs ... physics, computer science, software engineering, or a closely related discipline. * At least four ...

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All JobsGenerative Ai Physics Jobs

Generative Ai Physics information

See salary details

$11K

$61.2K

$94.5K

How much do generative ai physics jobs pay per year?

As of Aug 12, 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.

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.
More about Generative Ai Physics jobs
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 August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $61,160 per year, or $29.4 per hour.

Engineering Assistant- AI Based Solutions

FEV North America Inc

Auburn Hills, MI

Full-time

Posted 28 days ago

Job description

Description

  • Develop and deploy AI-based solutions to automate engineering and business workflows, improving efficiency, decision-making, and productivity
  • Identify opportunities to replace manual or rule-based processes with intelligent AI-driven workflows and agents
  • Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative AI models for engineering applications
  • Replace conventional rule-based control algorithms and physics-based functions with data-driven ML/RL models where appropriate
  • Develop data pipelines for collection, cleaning, feature engineering, training, validation, and deployment of AI models
  • Train, optimize, and validate ML/RL models using simulation, test, and field data
  • Collaborate with controls, software, systems, and domain experts to integrate AI models into production systems
  • Support development of digital twins, predictive analytics, anomaly detection, optimization, and intelligent decision-making systems
  • Monitor model performance, perform retraining activities, and ensure robustness and scalability of deployed solutions
  • Prepare technical reports, documentation, presentations, and demonstrations for internal and customer stakeholders
  • Stay current with emerging AI technologies, frameworks, and best practices and evaluate their applicability to engineering challenges

Requirements

  • Working towards Bachelor's or master's degree in computer science, Electrical Engineering, Mechanical Engineering, Robotics, Data Science, Artificial Intelligence, or a related field
  • Understanding of Machine Learning, Deep Learning, Reinforcement Learning, and Generative AI concepts
  • Proficiency in Python and common AI/ML frameworks such as TensorFlow, PyTorch, and RL libraries
  • Experience with software development tools, version control systems, and CI/CD processes
  • Experience with data processing, feature extraction, model training, validation, and deployment workflows

Preferred Qualifications:

  • Knowledge of optimization techniques, control systems, and system modeling concepts
  • Familiarity with cloud-based AI platforms and MLOps practices is preferred
  • Strong analytical and problem-solving skills with the ability to work on complex engineering challenges
  • Professional communication skills (oral and written) and ability to present technical concepts to diverse audiences

 Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities 

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