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Physics Informed Machine Learning Jobs (NOW HIRING)

Corning

Machine Learning Modeling Engineer

Corning, NY · On-site

Key Responsibilities Develop advanced machine learning, deep learning, and generative AI models in ... physics-informed neural networks, or uncertainty quantification. Track record of journal or ...

Mango Inc

Computational Imaging Engineer

Los Angeles, CA · On-site

$120K - $141K/yr

... physics-informed machine learning • Familiarity with hardware/software integration Company : At Mango, we believe sterility and bioburden testing shouldn't take weeks. Founded in , the company is ...

EDF

VIE - Digital Engineer F/H

Lynchburg, VA · On-site

... physics-informed machine learning or integrate ML with reactor simulation tools. • Clean, preprocess, and analyze large datasets (e.g., simulation outputs, operational data). • Build and maintain ...

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

... physics-based machine learning models. This role focuses on applying artificial intelligence, physics-informed methods, and surrogate modeling to accelerate the design and analysis of aerospace ...

Optimal

Research Engineer / Scientist

Dearborn, MI · On-site

$120 - $160/hr

Pioneer Physics-Informed Machine Learning (PIML): Fuse first-principles physics modeling with advanced machine learning to develop hybrid, high-fidelity prognostic models that capture complex ...

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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 the United States is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 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.

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Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 33% Full Time, 51% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $41,731 per year, or $20.1 per hour.

Machine Learning Modeling Engineer

Corning

Corning, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

89th of 543 rated manufacturers

Job description

Requisition Number: 76873

The company built on breakthroughs. 
Join us.                   

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. 

How do we do this? With our people. They break through limitations and expectations- not once in a career, but every day. They help move our company,and the world, forward. 

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. 

Come break through with us. 

Corning's businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with: 

  • Trusted products that accelerate drug discovery, development, and delivery to save lives
  • Damage-resistant cover glass to enhance the devices that keep us connected
  • Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
  • Precision glass for advanced displays to deliver richer experiences 
  • Auto glass and ceramics to drive cleaner, safer, and smarter transportation 
  • Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions


THIS POSITION IS LOCATED IN CORNING, NY

Role Purpose

The Machine Learning Modeling Engineer develops advanced machine learning and AI solutions to support product and process design, development, and innovation across Corning. This role provides data analytics, modeling, and software development support to help solve critical technical problems, improve decision making, and create novel computational methods that strengthen Corning's competitive advantage.

Key Responsibilities

Develop advanced machine learning, deep learning, and generative AI models in support of research, engineering, and product development initiatives.
Partner with scientists, engineers, and business stakeholders to define project requirements, identify opportunities for analytics and machine learning, and translate technical needs into effective modeling solutions.
Prepare data, perform exploratory data analysis, and develop, test, and refine machine learning models to support Corning products at different stages of development.
Interpret modeling and analytical results in research, engineering, and business context and clearly communicate findings, implications, and recommendations to stakeholders.
Support software development and computational modeling efforts related to data analytics, machine learning, and scientific computing.
Research and improve applicable technologies while helping expand Corning expertise in emerging AI/ML methods and related technical areas.
Write and maintain technical documentation, provide user training as needed, and mentor new engineers and scientists.
Support multiple projects and collaborate across teams to deliver effective and scalable analytics and machine learning solutions.

Experiences/Education - Required

MS or PhD required in engineering, computer science, mathematics, statistics, or related discipline, with specialization in machine learning and artificial intelligence.
Background in one or more scientific disciplines such as physics, chemistry, or engineering required.
Experience preparing data for machine learning and performing exploratory data analysis independently.
Deep knowledge of machine learning techniques, including traditional machine learning, deep learning, convolutional neural networks, recurrent neural networks, generative models, and reinforcement learning algorithms.
Practical experience using machine learning and deep learning frameworks such as PyTorch or TensorFlow.
Familiarity with generative AI tools and frameworks.
Strong mathematical and programming skills using Python.
Comfortable working in Windows, Linux parallel processing cluster environments, and Databricks.
Strong communication skills and ability to work effectively with scientists, engineers, and technical stakeholders.
Ability to work independently and in a team environment while managing multiple priorities.

Experience Preferred

Background in time series, computer vision, natural language processing, physics-informed neural networks, or uncertainty quantification.
Track record of journal or conference publications in relevant technical fields.
Knowledge of emerging technologies and algorithms in AI/ML.
Experience with physics-based modeling and ability to analyze, optimize, and debug scientific code.
Experience building scalable data analytics solutions.
Experience with Databricks Workflows, Delta Lake, and data governance frameworks.
Foundation in software design principles and ability to design and develop applications as needed.
Demonstrated ability to support multiple projects in a fast-paced technical environment.
Strong motivation, attention to detail, and commitment to advancing beyond the current state.

This position supports immigration sponsorship.

The range for this position is $91,311.00 - $125,553.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. 

A job that shapes a life. 

Corning offers you the total package. 

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.

  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.  
  • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.

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