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Physics Informed Machine Learning Jobs in Santa Barbara, CA

Toyon

Deep Learning Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

... 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 ...

Toyon

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 ...

Toyon Research Corporation

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 ...

Toyon

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 ...

Umbra

Senior Radar Systems Engineer

Santa Barbara, CA · On-site +1

$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 ...

Umbra

Senior Radar Systems Engineer

Santa Barbara, CA · Remote

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 ...

Umbra

Staff Data Platform Engineer

Santa Barbara, CA · On-site

$185 - $220/hr

S. space leadership while keeping the world safe and informed. About the Team Remote Sensing - The ... machine learning applications, and operational decision-making * Build and operate analytics and ...

Umbra

Staff Data Platform Engineer

Santa Barbara, CA · On-site

$127K - $153K/yr

S. space leadership while keeping the world safe and informed. About the Team Remote Sensing - The ... machine learning applications, and operational decision-making * Build and operate analytics and ...

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Physics Informed Machine Learning information

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

As of Sep 5, 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 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 job categories do people searching Physics Informed Machine Learning jobs in Santa Barbara, CA look for?

The top searched job categories for Physics Informed Machine Learning jobs in Santa Barbara, CA are:

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

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

Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Santa Barbara, CA as of August 2026, with employment types broken down into 6% Internship, 37% Full Time, 51% Part Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $46,433 per year, or $22.3 per hour.

Deep Learning Algorithm Developer

Toyon Research Corporation

Goleta, CA • On-site

$120K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense security clearance required.
This position is in-person.
Toyon has openings for researchers and developers to solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques. Experience in Computer Vision is desired for current openings. Our researchers apply AI/ML techniques to develop data processing automation solutions for problems in remote sensing, video-based tracking, low-shot classification, 3D reconstruction, and other application areas including platform control.
Requirements
Candidates for the Deep Learning Algorithm Developer position should have a strong background in engineering, computer science, physics, and/or mathematics. Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced degree (M.S./Ph.D.) or a Bachelor's degree and at least two years of industry experience is required.
WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE!
  • Competitive Industry Pay
  • 100% Employer-Paid Medical Insurance Premium
  • HSA with Employer Contributions
  • Dental and Vision Coverage Options
  • Paid Holidays
  • Paid Vacation and Sick leave
  • Company Funded 401(k) and Profit Sharing Plans
  • Employee Stock Ownership Plan (ESOP)
  • Life and Disability Insurance
  • Paid Parental Leave
  • Discretionary Bonus Eligibility

The annual pay range for the Deep Learning Algorithm Developer position is $120,000 to $200,000.
The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate's education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment.
Equal Opportunity Employer including Disability and Veterans
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Learn more about our company in our latest video, We are Toyon.
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