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Artificial Intelligence Machine Learning Physics Jobs in Georgetown, TX

TalentPros.AI

Staff Machine Learning Engineer

Austin, TX · On-site

$120K - $550K/yr

About the Team We are at the forefront of artificial intelligence, driving innovation and shaping ... We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ...

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Artificial Intelligence Machine Learning Physics information

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How much do artificial intelligence machine learning physics jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for artificial intelligence machine learning physics in Georgetown, TX is $18.64, according to ZipRecruiter salary data. Most workers in this role earn between $11.63 and $23.65 per hour, depending on experience, location, and employer.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are growing fields with high demand for skilled professionals, including roles like AI engineers and data scientists. These careers often require strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. They offer competitive salaries and opportunities for innovation across various industries.

What are popular job titles related to Artificial Intelligence Machine Learning Physics jobs in Georgetown, TX?

For Artificial Intelligence Machine Learning Physics jobs in Georgetown, TX, the most frequently searched job titles are:

What cities near Georgetown, TX are hiring for Artificial Intelligence Machine Learning Physics jobs?

Cities near Georgetown, TX with the most Artificial Intelligence Machine Learning Physics job openings:

Artificial Intelligence Machine Learning Physics jobs near you

Artificial Intelligence/Machine Learning Engineer

Austin, TX • On-site

Lumen Solutions Group Inc.
See more jobs at Lumen Solutions Group Inc.external

$113K - $136K/yr

Full-time

Re-posted 7 hours ago

Job description

Job Summary:
Lumen Solutions Group Inc. is seeking an Artificial Intelligence/Machine Learning Engineer to evaluate emerging AI trends and design applications tailored to specific use cases. The role involves creating scalable AI pipelines and collaborating with various teams to integrate AI solutions.
Responsibilities:
• Evaluate emerging AI trends, tools, and vendor solutions against business use-cases.
• Run proof-of-concepts (PoCs) to test feasibility of new ideas.
• Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program.
• Create scalable AI pipelines that can be integrated into existing systems.
• Collaborate with data, engineering, and software development teams.
Qualifications:
Required:
• Evaluate emerging AI trends, tools, and vendor solutions against business use-cases.
• Run proof-of-concepts (PoCs) to test feasibility of new ideas.
• Design and build applications and AI/ML models tailored to specific use cases (e.g., predictive analytics, natural language processing, computer vision) prioritized for the AI Program.
• Create scalable AI pipelines that can be integrated into existing systems.
• Collaborate with data, engineering, and software development teams.
• Possesses raw knowledge and skillset through coursework with some hands-on work experience in the following areas:
• Strong Python, familiarity with Java / C++ / Go for production environments
• Object-oriented programming & design patterns
• Unit testing, CI/CD, Git, containerization (Docker)
• Data pipelines (Airflow, Prefect, or cloud-native equivalents)
• Model deployment (REST APIs, gRPC, serverless), monitoring, and versioning
• AWS / Azure / GCP / OCI AI services
• Cloud-native training/inference environments (SageMaker, Vertex AI, Azure ML)
• Kubernetes for scalable inference
• Eligibility to Work: Vendor must ensure Resources retain the authorization to legally work in the United States throughout the term of each engagement based on the length of term period identified in the contract. Documentation of such authorizations must be provided prior to engagement.
Company:
Lumen Solutions Inc., is a dynamic small and minority-owned, Disadvantaged Business Enterprise headquartered in Virginia, USA. Founded in 1998, the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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