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Physics Informed Machine Learning Jobs in Phoenix, AZ

INTEL

Packaging Module Development Engineer

Phoenix, AZ

$127K - $179K/yr

Master's degree in Mechanical Engineering, Materials Science, Electrical Engineering, Physics ... machine learning concepts Posting Statement All qualified applicants will receive consideration for ...

Intel

Packaging Module Development Engineer

Phoenix, AZ · On-site

... 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 ...

Qeexo, Co.

Account Executive

Phoenix, AZ

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 ...

Qeexo, Co.

Account Executive

Phoenix, AZ · On-site

$130K/yr

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 ...

Qeexo, Co.

Account Executive

Phoenix, AZ · On-site

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 ...

Prosper

Fraud Specialist

Phoenix, AZ · On-site +1

$22.50/hr

Monitor and utilize AI fraud detection tools, machine learning model scores, and alert systems to ... Stay informed and aware of emerging fraud schemes, industry best practices, and regulatory ...

Pwc

US Tech - AI Engineering Senior Associate

Phoenix, AZ · On-site

$55K - $187K/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 ...

Prosper

Fraud Specialist

Phoenix, AZ · On-site +1

$22.50/hr

Monitor and utilize AI fraud detection tools, machine learning model scores, and alert systems to ... Stay informed and aware of emerging fraud schemes, industry best practices, and regulatory ...

Prosper

Fraud Specialist

Phoenix, AZ · On-site

$22.50/hr

Monitor and utilize AI fraud detection tools, machine learning model scores, and alert systems to ... Stay informed and aware of emerging fraud schemes, industry best practices, and regulatory ...

Pwc

NGA AI Engineer 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 ...

Pwc

US Tech - AI Engineering Manager

Phoenix, AZ

$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 ...

Pwc

NGA AI Engineer Senior Manager

Phoenix, AZ · On-site

$91K - $321K/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 ...

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

As of Jul 13, 2026, the average hourly pay for physics informed machine learning in Phoenix, AZ is $19.92, 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 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 Phoenix, AZ? For Physics Informed Machine Learning jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Phoenix, AZ look for? The top searched job categories for Physics Informed Machine Learning jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Physics Informed Machine Learning jobs? Cities near Phoenix, AZ with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Phoenix, AZ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,435 per year, or $19.9 per hour.
Packaging Module Development Engineer

Packaging Module Development Engineer

Intel

Phoenix, AZ

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

11th of 142 rated electronics manufacturers

Job description

Job Details:Job Description: 

  • Develops assembly processes and/or equipment and applies novel concepts for innovative solutions to enable Intel's roadmap of future assembly packaging platform technologies.

  • Optimizes and improves the efficiency of manufacturing of packages, developing processes to meet quality, reliability, cost, yield, productivity and manufacturability requirements.

  • Develops process and equipment specifications applying principles for design of experiments and data analysis, and documents improvements through white papers.

  • Develops and maintains equipment to evaluate silicon and package technologies under simulated field use conditions, such as heat, humidity, temperature cycle, and dynamic forces.

  • Ensures manufacturability of physical layout of package design and oversees the cycle of manufactured package processes, procedures and flows.

  • Establishes material specifications for contract assemblers and raw material vendors and interfaces with supplier quality and procurement teams to ensure material quality and vendor performance requirements are met through strict adherence to process specifications and existing product qualification methods.

  • Develops new techniques and acceleration methods, tools, and quality screens to ensure the early identification of potential problems with packaging quality and reliability.

  • Sets reliability requirements to meet customer needs and influences design, material selection and process development to meet those needs, based on fundamental understanding of failure mechanisms.

  • Leads efforts towards innovating, problem solving, developing, and continuously improving equipment and processes using experimental design and statistical methods.

  • Provides consultation concerning packaging problems and improvements in the packaging process, and responds to customer/client requests or events as they occur.

  • Delivers standardization in product qualification, manufacturing quality systems, and methods and continuously engages with packaging technology development and partner engineering groups on process/technology maturity for products towards key risk areas in meeting product milestones.

Note: This role requires regular onsite presence to fulfill essential job responsibilities.

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 STEM field with 5+ years of industry experience

  • -OR- PhD in Mechanical Engineering, Materials Science, Electrical Engineering, Physics/Applied Physics, or a related field with 2+ years of industry experience.

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

- Technology development, including familiarity with Statistical Process Control (SPC) and/or Design of Experiments (DOE), preferably within semiconductor or advanced manufacturing environments.
- Strong experimental background, including hands-on laboratory or prototype development experience.
- Strong collaboration and communication skills with cross-functional teams and external collaborators.
- Experience in programming/script (e.g., Python, MATLAB) development with artificial intelligence and machine learning concepts

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:Business group:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.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.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $133,800.00-219,550.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

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Benefits

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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

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