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Generative Ai Physics Jobs (NOW HIRING)

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 23, 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.
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 July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $61,160 per year, or $29.4 per hour.
AI & ML Researchers

AI & ML Researchers

Modernizing Medicine, Inc.

Boca Raton, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Join the Team Modernizing Medicine

AtModMed, we're not just building software-we're reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach:we hired doctors and taught them how to code.This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care.

A Culture of Excellence

When you join ModMed, you're joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida, and extensive employee base in Hyderabad India, we are a team of 4,500+ passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:

  • Consistently ranked as a Top Place to Work

  • 2025 Globee Business Awards:Gold Globee for "Technology Team of the Year"

  • 2025 Black Book Awards:Ranked #1 EHR in 11 Specialties

  • Florida Venture Forum:Venture-Backed Company of the Year

We are growing fast, thinking big, and we are just getting started.

Ready to modernize medicine with us?

Job Description Summary:

We are seeking AI/ML Researchers to drive innovation in large language models (LLMs), AI agents, and advanced machine learning systems. This role is ideal for hands-on researchers with a strong academic background, demonstrated publications, and practical experience translating cutting-edge AI techniques into real-world applications. You will work at the intersection of research and product, collaborating with cross-functional teams to design, develop, and deploy next-generation AI solutions that create measurable business impact.

Key Responsibilities:

  • Conduct research in large language models, generative AI, reinforcement learning, and AI agents, with a focus on advancing state-of-the-art capabilities.
  • Design and implement new algorithms and architectures for LLM fine-tuning, adaptation, and multi-agent collaboration.
  • Translate business problems into research-driven AI solutions, working closely with stakeholders to identify opportunities for innovation.
  • Build and evaluate models using techniques such as deep learning, natural language processing, generative modeling, reinforcement learning, and multi-modal learning.
  • Own the end-to-end lifecycle of research-driven ML projects, from exploration and prototyping to production deployment and monitoring.
  • Publish findings in top-tier conferences and journals, contributing to the broader AI research community.
  • Collaborate with product managers, data engineers, and software engineers to bring research ideas into scalable, production-grade systems.
  • Partner with data engineering teams to ensure robust pipelines and infrastructure for training, experimentation, and deployment.
  • For senior/lead level, mentor junior researchers and data scientists, fostering a culture of innovation and scientific rigor.

Qualifications:

  • PhD in Computer Science, Electrical Engineering, Mathematics, Physics, or a related quantitative field.
  • Proven track record of research excellence demonstrated by publications in top ML/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, AAAI, KDD) or journals.
  • Experience in machine learning or AI research, with applied experience in LLMs, generative AI, or AI agents.
  • Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with MLOps tools and cloud platforms (AWS, GCP, or Azure).
  • Expertise in at least one of the following areas:
    • Large Language Models (pretraining, fine-tuning, prompt engineering, retrieval-augmented generation)
    • Autonomous AI Agents and multi-agent systems
    • Generative AI (text, vision, speech, or multimodal)
    • Reinforcement learning and decision-making systems
  • Familiarity with distributed data systems, high-performance computing, and GPU/TPU-based model training.
  • Strong communication skills, with the ability to present research findings to both technical and non-technical stakeholders.

ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:

United States

  • Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution,
  • 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.
  • Generous Paid Time Off and Paid Parental Leave programs,
  • Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,
  • Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,
  • Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,
  • Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,
  • Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.

PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

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