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Generative Ai Physics Jobs (NOW HIRING)

Nvidia

OR · On-site

... Generative AI. You will also collaborate with a diverse set of internal teams on innovative AI ... Physics, Mathematics, other Engineering or related fields (or equivalent experience) * 8+ years of ...

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

Senior Software & AI Engineer

Sunnyvale, CA

$145K - $192K/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 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 ...

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 ...

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 ...

NVIDIA AI

Senior AI Solutions Architect

Santa Clara, CA · On-site

... Physics or related technical field (or equivalent experience). • 4+ years of experience in AI, ML, DL, NLP, and/or Generative AI. • Familiarity with accelerated computing platforms and GPU-based ...

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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 Jun 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 June 2026, with employment types broken down into 69% Full Time, 27% Part Time, 2% Temporary, and 2% Contract. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $61,160 per year, or $29.4 per hour.
Principal Data Scientist, Digital & AI

Principal Data Scientist, Digital & AI

Vertex Pharmaceuticals

Boston, MA • On-site

$152K - $228K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Job Description
General Summary:
Are you a data scientist with experience in natural language processing, generative AI, machine learning, and advanced analytics, and looking to apply your expertise in a collaborative and intellectually stimulating environment? Are you passionate about the future of healthcare?
Our enterprise data science team is looking for a Boston- or London-based data scientist with experience in using generative AI methods to solve complex business problems and a passion for addressing business needs through data analysis and solutions. You will work on a highly collaborative team of data scientists, engineers, and strategists to deliver analytical insights and data products that drive value and impact for our highest priority business needs. You'll work side-by-side with internal partners to apply advanced analytics and generative AI to complex, high-value business problems and digital solutions to deliver measurable decisions and outcomes that contribute meaningfully to our business and patients.
Key duties and responsibilities:
  • Collaborate with a team of data scientists, engineers, and strategists and our cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions for business problems using generative AI, NLP, machine learning, and other advanced analytical methods
  • Design and execute impact measurement plans (e.g. A/B tests) to quantify the value of these solutions
  • Lead quantitative assessment and insight generation for enterprise document ecosystem
  • Develop advanced insights related to enterprise adoption of generative AI tools such as custom agents
  • Build and deliver compelling data visualizations and outputs to communicate findings to technical collaborators, non-technical audiences, and business leaders
  • Participate in the broader data science community to stay current with methodology, software, and data development and availability
  • Bring an entrepreneurial and ethical mindset, openness, transparency, and collegiality to your work

Minimum qualifications:
  • Bachelor's, Master's, or PhD degree in a computational or quantitative discipline, including but not limited to data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics
  • 5+ years of experience developing data science solutions in an industry or academic context, with 2+ years of experience integrating generative AI methods into document solutions (e.g. custom document generation, summarization, QC)
  • Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. Snowflake, Databricks, Azure/Foundry, dbt)
  • Expertise in working with natural language data and building text-based products, using both classic and state of the art NLP techniques (e.g. text mining, word embeddings, transformer-based models)
  • Experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures such as retrieval-augmented generation, multi-agent architectures
  • Experience with statistical/analytical methodologies and machine learning algorithms (e.g. classification, regression, clustering, feature selection/engineering, deep learning, time-series analysis, network analysis, hypothesis testing)
  • Exceptional communication skills and ability to present findings to non-technical audiences
  • Experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings
  • Demonstrated history of adherence to highest standards of data ethics

Preferred Qualifications:
  • 4+ years of industry GenAI data science experience
  • Familiarity with LLMOps, including deployment, monitoring, and maintenance of GenAI data solutions
  • Prior experience with using advanced analytics and/or developing advanced data visualizations in business settings
  • Familiarity with data product UX/UI design and testing
  • Prior exposure to clinical data, real-world data (EMR, claims), manufacturing or supply chain data, or life sciences-related research data
  • Knowledge of the biopharma or healthcare industry

#LI-HYBRID
Pay Range:
$152,000 - $228,000
Disclosure Statement:
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation:
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status:
In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Hybrid
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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