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Physics Informed Machine Learning Jobs in Whittier, CA

Applied Physics

Seismologist

Los Angeles, CA · On-site

Experience with earthquake physics, modeling geophysical behavior, and the application of machine learning methods to earth science problems * Experience with geophysical monitoring or analysis of ...

Applied Physics

Seismologist

Los Angeles, CA · On-site

Experience with earthquake physics, modeling geophysical behavior, and the application of machine learning methods to earth science problems * Experience with geophysical monitoring or analysis of ...

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$5

$21

$26

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

As of Sep 2, 2026, the average hourly pay for physics informed machine learning in Whittier, CA is $21.21, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $26.92 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.

What cities near Whittier, CA are hiring for Physics Informed Machine Learning jobs?

Cities near Whittier, CA with the most Physics Informed Machine Learning job openings:

Physics Informed Machine Learning jobs near you

Seismologist

Applied Physics

Los Angeles, CA • On-site

Full-time

Re-posted 28 days ago

Job description

Applied Physics is seeking a highly motivated and experienced seismologist to join our gravitational ranging team. As a seismologist at Applied Physics, you will conduct original research in seismology related to induced seismicity and reservoir geomechanics, working on geothermal energy, geologic carbon storage, waste fluid disposal, or unconventional oil and gas projects.
Qualifications:
  • PhD in Seismology, Geophysics, Earth Science, Data Science related to Geophysics, or related field
  • Experience with high-performance computing, numerical earthquake simulation (e.g. dynamic rupture, cycle simulation), statistical and/or physics-based operational earthquake forecasting, and seismic hazard analysis
  • Ability to formulate novel solutions related to understanding of the geomechanical behavior of subsurface reservoirs and the underlying physical processes leading to induced seismicity, and/or other seismology or geomechanical problems
  • Experience with computer systems and modern programming languages (e.g. Python, C/C++, R, Java, shell scripting), Mac or PC, Unix or Linux platforms or other data management approaches
  • Demonstrated written and verbal communication skills. Experience writing and presenting reports, publications, and proposals, ability to interact effectively with a team of interdisciplinary scientists

Requirements
  • Experience with earthquake physics, modeling geophysical behavior, and the application of machine learning methods to earth science problems
  • Experience with geophysical monitoring or analysis of microseismic data
  • Experience modeling fluid flow in the subsurface, geomechanical behavior of faults, or seismic wave propagation
  • Experience with numerical methods, particularly finite difference or finite element techniques as applied to forward and inverse modeling of subsurface problems

Responsibilities:
    • Conduct original research in seismology related to induced seismicity and reservoir geomechanics
    • Organize, analyze, and interpret large geophysical sets from ongoing laboratory/field operations and physics-based simulations
    • Employ physical, statistical, or machine learning-based methods for analyzing, interpreting, and forecasting microseismic data
    • Utilize probabilistic techniques for induced seismicity hazard assessment.
    • Develop uncertainty quantification or other techniques for correlating observed seismicity with fluid injection rates and volumes
    • Collect, aggregate, and analyze real-time data streams and develop software or other approaches to improve detection of hazardous faults in the subsurface
    • Publish both reports and peer-reviewed publications summarizing research findings. Present results at program meetings and research conferences
    • Work as part of a scientific team, interacting with seismologists, geologists, reservoir engineers, statisticians, physicists, and computer scientists to design and implement high-impact research

Benefits
We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world.
If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

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