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Physics Informed Machine Learning Jobs in Frisco, TX

Machine Learning Engineer - NJ

Addison, TX

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...

AI Solutions Architect

Dallas, TX

$62.25 - $82/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... or Physics, or equivalent experience * 8+ years of experience in product sales, software ...

Sr. Data Scientist AI COE

Frisco, TX · On-site

$106K - $191K/yr

You must demonstrate expertise across the entire machine learning (ML) lifecycle, including problem ... physics, engineering, etc.) * 4-7 years Experience in AI/ML model development, MLOps, and cloud ...

MS or BS in Computer Science,Math, Physics, Information Science, Engineering or other related field ... Knowledge of Artificial Intelligence and machine learning (AI/ML) techniques * Experience in data ...

... Math, Physics, Information Science, Engineering or other related field Skills · Experience in ... Intelligence and machine learning (AI/ML) techniques · Experience in data driven approach to ...

MS or BS in Computer Science, Math, Physics, Information Science, Engineering or other related ... Knowledge of Artificial Intelligence and machine learning (AI/ML) techniques * Experience in data ...

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Physics Informed Machine Learning information

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

As of Jun 28, 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 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 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 is a Physics Informed Machine Learning job?

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 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:
Machine Learning Engineering Manager

Machine Learning Engineering Manager

Autodesk

Plano, TX • On-site

Other

Posted 17 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

8th of 192 rated software companies


Job description

Job Requisition ID #

26WD99363

Position Overview

If you're looking to make a significant impact and shape the future of the AEC industry, this is the role for you. AI is the future of design and make, and Autodesk is pioneering the transformation of the AEC industry. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics. This innovation is happening across our flagship products-AutoCAD, Revit, and Construction Cloud-and Forma, our new Industry Cloud.

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team to build foundation models and machine learning tools for the AEC industry. You will coach your team to collaborate across organizations to build the latest foundation models and generative AI tools for the AEC industry. You will also ensure that we maintain privacy and security standards respecting and safeguarding our customers' data.

You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.

We support hybrid work, and you work near our Toronto, Canada or Boston, MA.

Responsibilities

  • Work with your team to help understand requirements, evaluate new features, and help build technology roadmaps

  • Build a new team by recruiting talent from diverse backgrounds and perspectives

  • Build partnerships with technical leads and important individuals within other functional organizations, to implement compelling solutions

  • Build an inclusive culture, mentor team members, and provide your team with the tools to reach their goals

  • Foster a culture of innovation, continuous improvement, and excellence

  • Keep up-to-date with the latest AI trends and apply this expertise to improve team performance and product quality

  • Create tactical execution plans and ensure adherence to budgets, schedules, and performance expectations

  • Educate leaders at Autodesk on best uses and practices of AI

  • Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless

Minimum Qualifications

  • MS in Machine Learning, Mathematics, Statistics, Computer Science, or a related field

  • 5+ years of experience in machine learning engineering or related field

  • 3+ years of experience as a manager

  • Experience building an innovative and creative team culture

  • Ability to break down a large, long lead projects into shorter, clear milestones to deliver value incrementally

  • Strong interpersonal skills and ability to work across many organizations

  • Experience with Scrum and Agile development processes and methodologies

Preferred Qualifications

  • Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards

  • Experience training deep neural nets, such as CNN and transformers and proficiency in least one deep learning framework, for example PyTorch, TensorFlow

  • Strong fundamentals in 3D geometry and geometric computer vision

  • Exposure to Cloud Computing in AWS and using the SageMaker Studio platform

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $0 and $0. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982