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Physics Informed Machine Learning Jobs in Mesa, AZ

Yield Engineer

Phoenix, AZ · On-site

$127K - $179K/yr

... Physics/Applied Physics, or a related field with 3+ years of experience or PhD in Mechanical ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

... Physics/Applied Physics, or a related field with 3+ years of experience or PhD in Mechanical ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

... Physics/Applied Physics, or a related field with 3+ years of experience or PhD in Mechanical ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

CTIO AI Engineering Manager

Phoenix, AZ · 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 ...

Understanding of machine learning/deep learning * Strong knowledge of Statistical Process Control ... Solid technical understanding of IC processing equipment, integrated flow, chemistry, and physics ...

... Physics, or a related field. Experience listed above should be a combination of the following: Programming/script (e.g., Python, MATLAB) development with artificial intelligence and machine learning ...

Understanding of machine learning/deep learning * Strong knowledge of Statistical Process Control ... Solid technical understanding of IC processing equipment, integrated flow, chemistry, and physics ...

AI Solutions Engineering Delivery Lead

Phoenix, AZ · On-site

$101K - $134K/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 ...

Develop and maintain a working understanding of machine learning applications and relevant business ... Continuous Learning Stay informed on industry trends, emerging technologies, and evolving customer ...

Develop and maintain a working understanding of machine learning applications and relevant business ... Continuous Learning Stay informed on industry trends, emerging technologies, and evolving customer ...

Showing results 21-40

Physics Informed Machine Learning information

See Mesa, AZ salary details

$5

$19

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

As of Aug 11, 2026, the average hourly pay for physics informed machine learning in Mesa, AZ is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $25.29 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?

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 Mesa, AZ? For Physics Informed Machine Learning jobs in Mesa, AZ, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Mesa, AZ look for? The top searched job categories for Physics Informed Machine Learning jobs in Mesa, AZ are:
What cities near Mesa, AZ are hiring for Physics Informed Machine Learning jobs? Cities near Mesa, AZ with the most Physics Informed Machine Learning job openings:

Yield Engineer

INTEL

Phoenix, AZ • On-site

$127K - $179K/yr

Full-time

Medical, Retirement, PTO

Posted 18 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers


Job description

Job Description

The Advanced Packaging Technology Manufacturing (APTM) division at Intel is responsible for the development and commercialization of industry-leading semiconductor packaging technologies for mobile, edge, and hyperscale computing platforms. Within APTM, the Assembly Technology Development (ATD) team pioneers innovative package assembly solutions and scales them for high-volume manufacturing.


As a Packaging Module Development Engineer, you will:


• Contribute to the advancement of technology and foundry capabilities by developing First Level Interconnect (FLI) to support Intel's future packaging platforms.
• Collaborate with multifunctional, cross organizational teams to optimize assembly processes for quality, reliability, cost, yield, productivity, and manufacturability.
• Drive innovation in next generation equipment, materials, and fabrication processes to scale advanced semiconductor packaging capabilities
• Lead equipment development activities, including pathfinding, new equipment definition, selection, technology development, and transition to high volume manufacturing.
• Manage projects to ensure alignment with product development schedules and execution milestones.
• Apply sound engineering principles, formal education, and professional judgment to resolve complex technical challenges.
• Provide sustaining engineering support to maintain equipment performance and process health in high volume manufacturing environments
• Respond effectively and with urgency to foundry customer requests, escalations, and manufacturing events
The ideal candidate should demonstrate:


• Technical leadership, strategic planning, and critical thinking.
• Ability to coach and develop technical teams.
• Tolerance for ambiguity and adaptability in a dynamic environment.
• Flexibility in managing changing priorities and responsibilities.
• Experience leading teams in a highly matrixed organization.
• Initiative and ability to work independently.
• Strong communication, influencing, technical, and analytical skills.
This position requires regular onsite presence.


Qualifications

You must possess the minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:


• Master's degree in Mechanical Engineering, Materials Science, Electrical Engineering, Physics/Applied Physics, or a related field with 3+ years of experience or PhD in Mechanical Engineering, Materials Science, Electrical Engineering, Physics/Applied Physics, or a related field.


• Experience listed above should be a combination of the following:

Programming/script (e.g., Python, MATLAB) development with artificial intelligence and machine learning concepts.
Preferred Qualifications:


One or more years of experience in one or more of the following areas:
• Technology development, including familiarity with Statistical Process Control (SPC) and/or Design of Experiments (DOE)
• Delivery of results for complex, time-critical technical projects.
• Semiconductor fabrication processes and technologies.
• Prior related work experience within a semiconductor foundry.


Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $127,400.00-$179,900.00
*Salary range dependent on a number of factors including location and experience
Working Model
This role will require an on-site presence.* Job posting details (such as work model, location or time type) are subject to change.

What Intel employees say

Pay

Benefits

Hours and flexibility

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968