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Artificial Intelligence Machine Learning Physics Jobs in Georgetown, TX

Lindsay & Brownell

AI Consulting Manager

Austin, TX · On-site

... artificial intelligence, machine learning, and emerging technologies to solve complex business challenges. This role is responsible for partnering with clients to understand business objectives ...

New

Deloitte

Cyber Manager - AI SOC

Austin, TX

$110K - $148K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to security operations, including orchestration, retrieval, evaluation, or human-in-the-loop response ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX

$101K - $133K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Deloitte

Cyber Manager - AI SOC

Austin, TX · On-site

$110K - $148K/yr

Experience applying artificial intelligence, machine learning, or large language model workflows to security operations, including orchestration, retrieval, evaluation, or human-in-the-loop response ...

Eisneramper Llp

AI Consulting Manager

Austin, TX

... artificial intelligence, machine learning, and emerging technologies to solve complex business challenges. This role is responsible for partnering with clients to understand business objectives ...

New

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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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 Aug 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 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 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 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.

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 job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Georgetown, TX look for? The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Georgetown, TX 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

Software Engineer, AI Agents, AI & Data Platforms

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 29 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Developer Experience Platform team is looking for an extraordinary Python backend engineer who has a robust understanding of Large Language Models (LLMs)and Generative AI to join our team. You will help design, implement the core backend services and pipelines that integrate with various other enterprise services including LLMs and bring Gen AI services. You would support our mission by applying groundbreaking research in this rapidly evolving and exciting space, to our daily work. By contributing to our team, you'll play an integral part in developing our developer productivity tools, leaving a significant footprint on the evolution of our enterprise AI platforms.
Description
Developer Experience Platform team provides frameworks, services and developer tools to internal engineering teams in Apple to accelerate their SDLC. We are working on a Generative AI based Developer Experience Platform for internal use and assist our app development team. This role involves multiple aspects on the backend, like ensuring LLM based code generation is accurate, and integrating with various enterprise services. You will collaborate with Machine Learning engineers, Software engineers, and other data scientists to deliver and end to end solution for this platform.
Minimum Qualifications
Bachelor's Computer Science, Artificial Intelligence, Machine Learning, or a related field, or related experience.
Proven experience in building complex agentic systems using LLMs. Strong programming skills, with a background in software architecture design and development.
4+ years of software engineering experience specializing in enterprise software development, with expertise in backend technologies including Java and Python, along with strong proficiency in database technologies and CI/CD solutions.
Strong programming skills building backend API services using Python and/or Java.
Preferred Qualifications
Experience in Machine Learning with a particular emphasis on Large Language Models (LLMs), Retrieval Augmented Generation(RAG) and Generative AI.
Experience working on platform engineering or a developer experience platform is a plus.
Collaborative mindset to brainstorm on architectural patterns to arrive at the best approach. Keen interest in keeping up with the latest in the industry.
Communicating effectively, both written and verbal, with technical and non-technical cross-functional teams

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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