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Physics Based Machine Learning Jobs (NOW HIRING)

Applied Physics

Seismologist

Los Angeles, CA · On-site

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 ...

Applied Physics

Seismologist

Los Angeles, CA · On-site

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 ...

Applied Physics

Seismologist

Los Angeles, CA · On-site

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 ...

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

By enabling high-fidelity, multi-physics simulation through AI inference across the entire ... We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

Build differentiable simulation and physics-informed machine learning pipelines to analyze and improve cameras and sensors. Ground the exploration via validated simulation and metrology results to ...

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

As of Jul 16, 2026, the average hourly pay for physics based 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 types of projects or problems does a Physics Based Machine Learning professional typically work on?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What is a Physics Based Machine Learning job?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What are the key skills and qualifications needed to thrive in the Physics Based Machine Learning position, and why are they important?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

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Physics Based Machine Learning jobs near you
Infographic showing various Physics Based Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.
Seismologist

Seismologist

Applied Physics

Los Angeles, CA • On-site

Full-time

Re-posted 10 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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