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Physics Informed Machine Learning Jobs in Florence, AZ

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

... Physics, or another quantitative discipline; advanced degree preferred. * Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such ...

Meta

Critical Facility Engineer

Mesa, AZ

$88K/yr

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Meta

Network Engineer, Deployment & Support

Mesa, AZ

$135K/yr

... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

eegee's

Shift Leader

Gilbert, AZ

$12.50 - $15.25/hr

Operates batch machine to produce eegees, ensuring product quality and safety.  * Operates large ... Stay informed about market trends, competitors, and opportunities to enhance competitive ...

eegee's

Shift Leader

Gilbert, AZ · On-site

$12.50 - $15.25/hr

Operates batch machine to produce eegees, ensuring product quality and safety. * Operates large ... Stay informed about market trends, competitors, and opportunities to enhance competitive ...

Atlas Copco

Quality Engineer

Chandler, AZ · On-site

$70K - $91K/yr

Responsible, supports and could be consulted or informed on Quality Assurance, test, failure ... Lifelong learning and career growth * Innovation powered by people * Comprehensive compensation and ...

Atlas Copco

Quality Engineer

Chandler, AZ · On-site

$70K - $91K/yr

Responsible, supports and could be consulted or informed on Quality Assurance, test, failure ... Lifelong learning and career growth * Innovation powered by people * Comprehensive compensation and ...

All JobsPhysics Informed Machine Learning JobsPhysics Informed Machine Learning Jobs in Florence, AZ

Physics Informed Machine Learning information

See Florence, AZ salary details

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

As of Aug 12, 2026, the average hourly pay for physics informed machine learning in Florence, AZ is $18.77, 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?

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 cities near Florence, AZ are hiring for Physics Informed Machine Learning jobs? Cities near Florence, AZ with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you

Data Scientist

Champions Funding LLC

Gilbert, AZ • On-site

Full-time

Posted 18 days ago

Job description

Description:

• Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments.
• Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making, and generate business insights.
• Translate business objectives into well-defined analytical, statistical, and machine learning solutions that deliver measurable business value.
• Analyze large, complex datasets to identify trends, patterns, opportunities, and operational improvements.
• Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments.
• Evaluate data quality, model performance, and AI system limitations while ensuring responsible, ethical, and practical implementation of predictive models.
• Present analytical findings, recommendations, and technical concepts clearly to executive leadership and both technical and non-technical stakeholders.
• Develop, monitor, and optimize predictive models, ensuring ongoing performance, accuracy, and reliability through continuous improvement.
• Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation.
• Collaborate across departments to support strategic initiatives, business intelligence projects, forecasting, automation, and operational optimization.
• Maintain thorough documentation of models, methodologies, assumptions, and development processes to support transparency, reproducibility, and governance.
• Support ad hoc analytical projects and provide data-driven recommendations that improve business performance and operational efficiency.

Requirements:

• Bachelor's degree required in Mathematics, Data Science, Computer Science, Engineering, Physics, or another quantitative discipline; advanced degree preferred.
• Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such as Python and SQL.
• Demonstrated experience working with modern AI technologies, including deep learning, large language models (LLMs), generative AI, MLOps, or related machine learning frameworks.
• Experience developing, deploying, and maintaining machine learning models in production environments.
• Strong understanding of cloud computing platforms and modern data science tools and technologies.
• Ability to evaluate model performance, balance trade-offs between accuracy, interpretability, speed, and risk, and apply sound judgment in ambiguous situations.
• Experience communicating complex technical concepts to business leaders and collaborating effectively with cross-functional teams.
• Experience within financial services, mortgage lending, or other highly regulated industries preferred.
• Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a plus.