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Physics Informed Machine Learning Jobs in Frisco, TX

... informed decision-making What You Must Have - At least a Bachelor's degree - At least 6years of ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

New

... machine learning technology. Our flagship product, the AIIR Intelligent HVAC system, delivers ... Thorough knowledge of the engineering fundamentals and the underlying physics of HVAC systems.

... machine learning technology. Our flagship product, the AIIR Intelligent HVAC system, delivers ... Thorough knowledge of the engineering fundamentals and the underlying physics of HVAC systems.

Algorithm Principal Systems Engineer

Plano, TX · On-site

$107.50 - $204.50/hr

Bachelor's degree in a STEM discipline such as engineering, physics, or mathematics. * Eight (8) ... machine learning. * UNIX/Linux proficiency and proven programming skills in C/C++ and MATLAB or ...

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... the implementation of machine learning algorithms and predictive modeling techniques ...

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... the implementation of machine learning algorithms and predictive modeling techniques ...

CTIO AI Engineering Manager

Dallas, TX · On-site

$73K - $244K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

AI Solutions Engineering Delivery Lead

Fort Worth, TX · On-site

$98K - $129K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

AI Solutions Engineering Delivery Lead

Dallas, TX · On-site

$101K - $133K/yr

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

Showing results 41-60

Physics Informed Machine Learning information

See Frisco, TX salary details

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How much do physics informed machine learning jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for physics informed machine learning in Frisco, TX is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $11.68 and $23.85 per hour, depending on experience, location, and employer.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Frisco, TX?

For Physics Informed Machine Learning jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Frisco, TX look for?

The top searched job categories for Physics Informed Machine Learning jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Physics Informed Machine Learning jobs?

Cities near Frisco, TX with the most Physics Informed Machine Learning job openings:

Tax Innovation - AI Engineer - Senior Manager

Pwc

Dallas, TX • On-site

$124K - $335K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Tax Innovation - AI Engineer, you will lead the integration and deployment of artificial intelligence technologies within our Tax practice, enhancing performance and capabilities. As a Senior Manager, you will leverage your skills and professional networks to deliver quality results, acting as a strategic advisor and driving project success. You will be responsible for building trust with multi-level teams and stakeholders, motivating and coaching teams to solve complex problems, and applying sound judgment to develop high-performing, diverse, and inclusive teams.
In this role, you will oversee the design, development, and maintenance of data infrastructure, confirming data quality and integration across various systems. You will also engage in coaching and feedback processes to foster growth and innovation within your team. Your ability to manage data pipelines and model data effectively will be crucial in supporting efficient data management and decision-making. This position offers the opportunity to deepen your skills in AI implementation and machine learning, contributing to the overall success of our firm.
Responsibilities
- Leading the integration and deployment of artificial intelligence technologies to enhance performance and capabilities
- Overseeing the design and maintenance of data infrastructure to support efficient data management and sharing
- Managing data pipelines to validate accurate and timely data movement across systems
- Developing data models to organize and represent data in a structured manner, supporting decision-making processes
- Implementing machine learning and natural language processing techniques to drive innovation in data analytics
- Utilizing Python programming to build and refine data analytics solutions
- Conducting rapid experimentation to test new ideas and improve data-driven strategies
- Providing coaching and feedback to develop team skills and performance in data and analytics engineering
- Collaborating with stakeholders to integrate data from different and multiple sources into a unified view
- Validating data quality to maintain accuracy, consistency, and reliability for informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 6years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Leading AI implementation projects to enhance performance and capabilities
- Managing data infrastructure to promote data sharing and consumption
- Integrating data from diverse sources into unified views
- Modeling data to support efficient management and integrity
- Utilizing Python for programming and machine learning applications

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $124,000 - $335,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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