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Physics Informed Neural Networks Jobs (NOW HIRING)

Heven AeroTech

AI/ML Research Scientist

Sterling, VA

Build physics-informed neural networks and digital twin simulations for aerospace systems * Research quantum sensing integration methods for navigation and perception * Document research findings and ...

University of Rochester

$100K - $140K/yr

Invertible Neural Networks (INNs) * Graph Neural Networks (GNNs) * Neural Operators * Other ... Physics-Informed Machine Learning * PDE-Based AI Methods Why Join LLE? At LLE, you'll work at the ...

SpaceX

Sr. Software Engineer, Computer Vision

Hawthorne, CA · On-site

$160K - $225K/yr

Experience applying AI to physics or simulation domains, using physics-informed neural networks (PINNs) or surrogate modeling ADDITIONAL REQUIREMENTS: * Ability to work extended hours and weekends as ...

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How much do physics informed neural networks jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for physics informed neural networks 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 Neural Networks job?

A Physics Informed Neural Networks (PINNs) job typically involves developing and applying neural networks that incorporate physical laws as constraints to solve complex scientific and engineering problems. Professionals in this field work on integrating differential equations into deep learning models to improve predictions and reduce the need for large training datasets. These roles are common in fields like fluid dynamics, material science, and climate modeling, where traditional computational methods can be expensive. Individuals in this role often have expertise in machine learning, numerical methods, and domain-specific physics.

What are the key skills and qualifications needed to thrive in the Physics Informed Neural Networks position, and why are they important?

To thrive in Physics Informed Neural Networks (PINNs), you need a strong background in physics, mathematics, and deep learning frameworks, typically evidenced by advanced degrees in physics, applied mathematics, computer science, or engineering. Experience with programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch, as well as experience in numerical simulation tools, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals excel in multidisciplinary teams. These qualifications and soft skills are essential for developing accurate, interpretable models that integrate scientific knowledge with machine learning to solve complex real-world problems.

What are the typical daily tasks involved in a Physics Informed Neural Networks position?

In a Physics Informed Neural Networks role, your daily tasks will often include designing, building, and testing neural network architectures that incorporate physical laws and constraints. You will frequently collaborate with domain experts, such as physicists or engineers, to integrate scientific knowledge into machine learning models and validate the results with real-world data. Regular responsibilities also involve coding, running experiments, analyzing results, and documenting findings for presentation or publication. This collaborative and research-driven environment helps ensure that models are both accurate and physically consistent, and offers opportunities for interdisciplinary learning and skill advancement.

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Physics Informed Neural Networks jobs near you
Infographic showing various Physics Informed Neural Networks job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 1% Part Time, 3% Temporary, and 1% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.

AI/ML Research Scientist

Heven AeroTech

Sterling, VA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Title:  AI/ML Research Scientist
Company: Heven AeroTech
Location: Sterling, Virginia  
FLSA: Exempt

About Our Company:
At Heven AeroTech (Heven), we don't just believe in the power of people-we build our success on it. As a recognized leader in hydrogen powered drones, we've earned recognition for creating a workplace where innovation thrives, collaboration is second nature, and every employee feels valued. Our culture is anchored in trust, and a shared commitment to excellence. We know that great organizations are built by extraordinary teams. That's why we invest in your professional growth, offering robust training programs, leadership development opportunities, and a clear pathway for advancement. At Heven, your voice matters, your ideas are heard, and your contributions make a tangible impact.

Role Summary: 
The AI/ML Research Scientist will lead pioneering research at the intersection of artificial intelligence, quantum technologies, hydrogen systems, and autonomous aerospace operations. This role requires conducting applied research that bridges cutting-edge academic theory with mission-critical defense applications, publishing findings, filing patents, and influencing the technical direction of our autonomous systems portfolio while generating foundational intellectual property for next-generation autonomous UAS. 

Essential Responsibilities:  

  • Design and implement AI/ML algorithms for autonomous navigation, including visual-inertial odometry, SLAM, and sensor fusion
  • Architect adversarial robustness frameworks and edge AI optimizations tailored for mission-critical defense applications. 
  • Create predictive models for hydrogen fuel cell performance and thermal management
  • Build physics-informed neural networks and digital twin simulations for aerospace systems
  • Research quantum sensing integration methods for navigation and perception
  • Document research findings and prepare invention disclosures for patent applications
  • Write technical specifications for proprietary algorithms and system architectures
  • Publish research papers and present at conferences
  • Maintain detailed records of experimental results and methodologies 
  • Develop proof-of-concept software in simulation and hardware-in-the-loop environments
  • Collaborate with engineering teams to integrate research algorithms into UAS platforms
  • Conduct testing and validation of algorithms using real-world flight data
  • Troubleshoot and refine models based on experimental performance
  • Participate in technical design reviews and provide AI/ML expertise
  • Coordinate with university partners and industry collaborators on joint research
  • Support proposal development for research funding opportunities
  • Track emerging AI/ML technologies relevant to autonomous aerospace systems 

Qualifications & Experience: 

Required:

  • Ph.D. in Computer Science, Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or related field with dissertation in machine learning, robotics, autonomous systems, computer vision, or control theory 
  • 3+ years post-Ph.D. research experience in AI/ML
  • Minimum 3 peer-reviewed publications with at least one first-author paper
  • Expert knowledge of deep learning architectures (CNNs, transformers, reinforcement learning) and probabilistic machine learning
  • Proficiency in PyTorch, TensorFlow, or JAX; strong Python skills
  • Experience with computer vision, sensor fusion, or state estimation
  • U.S. Person status (U.S. Citizen, Permanent Resident, Asylee, or Refugee)
  • Ability to obtain DoD Secret clearance within first year 

Required:

  • 5+ years post-Ph.D. research experience with 10+ publications and H-index 3
  • Patent applications or issued patents in AI/ML or autonomous systems
  • Domain expertise in one or more: robotics/ROS, aerospace/flight dynamics, quantum computing, physics-informed ML, edge AI optimization, or adversarial ML
  • Proven record of transitioning research into practical applications, complemented by grant writing and Principal Investigator (PI) experience 

Physical Requirements: 

  • The ability to maintain a stable, upright seated or standing position for extended periods (typically 6-10 hours per day) without significant physical fatigue.
  • High-frequency use of fingers and wrists for data entry, complex coding, and navigating digital interfaces using keyboards and mice.
  • The capacity for "near-point" visual tasking, involving the ability to focus on high-resolution displays for long durations and process dense information without excessive eye strain 

Benefits Overview: 
Heven AeroTech offers a competitive benefits package designed to support the health, financial security, and overall well-being of our employees and their families. Benefits include medical, dental, and vision coverage, retirement plans, paid time off/sick, and additional protections such as critical illness, hospital indemnity, accident coverage, and short- and long-term disability.

Equal Employment Opportunity Statement: 
Heven AeroTech is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.

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