1

Generative Ai Physics Jobs in Texas (NOW HIRING)

... Generative AI workflows to address high-stakes real-world challenges. This role operates much like ... Physics, Machine Learning, or a related technical field. Business & Communication Skills: Ability ...

... like AI/ML, physics simulations, and computational biology. You will be the primary point of ... and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System ...

... like AI/ML, physics simulations, and computational biology. You will be the primary point of ... and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System ...

Cloud Support Engineer

Dallas, TX ยท On-site

$55.25 - $73.75/hr

... like AI/ML, physics simulations, and computational biology. You will be the primary point of ... and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System ...

Cloud Support Engineer

Dallas, TX ยท On-site

$55.25 - $73.75/hr

... like AI/ML, physics simulations, and computational biology. You will be the primary point of ... and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System ...

... Physics, Biological Sciences, Climate or Environmental Science. Equipped with deep knowledge of ... Experience using generative AI tools in workflows.

Experience using generative AI tools in workflows. Minimum Qualifications MS +3 years of experience ... Physics, Biological Sciences, Climate or Environmental Science. Equipped with deep knowledge of ...

Experience developing policies for governing multi-modal (image, video, audio) generative AI ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

next page

Showing results 1-20

Generative Ai Physics information

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.

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 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 cities in Texas are hiring for Generative Ai Physics jobs?

Cities in Texas with the most Generative Ai Physics job openings:

Forward Deployed AI Engineer (Palantir)

HRB

Dallas, TX โ€ข On-site

$120 - $180/hr

Other

Posted 5 days ago


Job description

As a Forward Deployed AI Engineer, you will sit at the intersection of AI engineering, product strategy, and client delivery. Working closely with enterprise partners and clients, you will own the end-to-end strategy, architecture, and deployment of production-grade Generative AI workflows to address high-stakes real-world challenges.

This role operates much like a hands-on AI startup technical leaderโ€”taking concepts from problem decomposition and prototyping all the way to robust, scalable field deployment.

Core Responsibilities

Solution Architecture & Delivery:Build, optimize, and deploy end-to-end LLM workflows, data processing pipelines, and advanced analytics tools into production.

Client & Business Strategy:Partner directly with technical and non-technical stakeholders to translate complex operational challenges into actionable AI implementations.

Product Feedback Loop:Capture field insights and user feedback to inform and refine internal core AI product platforms and tooling.

Iterative Problem Solving:Work in agile, cross-functional teams to rapidly prototype, validate, and scale AI solutions in dynamic client environments.

Key Qualifications

Gen AI & LLM Experience:Proven track record of building and deploying solutions utilizing Large Language Models (LLMs) and modern Generative AI frameworks.

Machine Learning Fundamentals:Solid grounding in ML core concepts, including evaluation methodologies, model training/fine-tuning, and problem decomposition.

Engineering Background:Bachelorโ€™s or Masterโ€™s degree (or equivalent practical experience) in Computer Science, Software Engineering, Mathematics, Physics, Machine Learning, or a related technical field.

Business & Communication Skills:Ability to solve business-oriented problems rather than academic benchmarks, with strong communication skills for client-facing collaboration.

Willingness to Travel:Ability and willingness to travel to client sites as needed (up to 25%).

#J-18808-Ljbffr