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Physics Informed Machine Learning Jobs in Santa Barbara, CA

... AI) / Machine Learning (ML) techniques. Experience in Computer Vision is desired for current ... physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks ...

AI/ML Software Engineer

Goleta, CA · On-site

$120K - $200K/yr

... Machine Learning (ML) applications. Our software engineers work closely with our researchers and ... Candidates should possess strong math and physics knowledge to enable developing advanced AI/ML ...

AI/ML Software Engineer

Goleta, CA · On-site

$120K - $200K/yr

... Machine Learning (ML) applications. Our software engineers work closely with our researchers and ... Candidates should possess strong math and physics knowledge to enable developing advanced AI/ML ...

Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

... machine learning, estimation theory, computer vision, computational imaging, and/or electromagnetics. Requirements Candidates should have a strong background in engineering, computer science, physics ...

Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

... machine learning, estimation theory, computer vision, computational imaging, and/or electromagnetics. Requirements Candidates should have a strong background in engineering, computer science, physics ...

Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

... machine learning, estimation theory, computer vision, computational imaging, and/or electromagnetics. Requirements Candidates should have a strong background in engineering, computer science, physics ...

Senior Radar Systems Engineer

Santa Barbara, CA · On-site

$116K - $159K/yr

S. space leadership while keeping the world safe and informed. About the Team Remote Sensing - The ... Proven experience in machine learning. * 10+ years experience with Python's scientific stack: Numpy ...

Senior Radar Systems Engineer

Santa Barbara, CA · On-site

$116K - $159K/yr

S. space leadership while keeping the world safe and informed. About the Team Remote Sensing - The ... Proven experience in machine learning. * 10+ years experience with Python's scientific stack: Numpy ...

Physics Informed Machine Learning information

See Santa Barbara, CA salary details

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$22

$28

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

As of Jul 19, 2026, the average hourly pay for physics informed machine learning in Santa Barbara, CA is $22.32, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $28.37 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 job?

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.

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