Los Angeles, CA · On-site
$120K - $141K/yr
... physics-informed machine learning • Familiarity with hardware/software integration Company : At Mango, we believe sterility and bioburden testing shouldn't take weeks. Founded in , the company is ...
New
Los Angeles, CA · On-site
$120K - $141K/yr
... physics-informed machine learning • Familiarity with hardware/software integration Company : At Mango, we believe sterility and bioburden testing shouldn't take weeks. Founded in , the company is ...
New
... physics-informed ML, and surrogate modeling, implementing new techniques when needed • ... for machine learning, AI, or data science applications • Ability to work extended hours and ...
... physics-informed ML, and surrogate modeling, implementing new techniques when needed • ... for machine learning, AI, or data science applications • Ability to work extended hours and ...
... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
Hawthorne, CA · On-site
$145K - $175K/yr
Stay current with the latest research in neural operators, physics-informed ML, and surrogate ... Master's or PhD in computer science, machine learning, engineering, or a related field with a focus ...
Hawthorne, CA · On-site
$145K - $175K/yr
Stay current with the latest research in neural operators, physics-informed ML, and surrogate ... Master's or PhD in computer science, machine learning, engineering, or a related field with a focus ...
We are looking for smart, motivated, collaborative engineers who love applying machine learning to ... Stay current with the latest research in neural operators, physics-informed ML, and surrogate ...
We are looking for smart, motivated, collaborative engineers who love applying machine learning to ... Stay current with the latest research in neural operators, physics-informed ML, and surrogate ...
Hawthorne, CA · On-site
$145K - $175K/yr
Stay current with the latest research in neural operators, physics-informed ML, and surrogate ... Master's or PhD in computer science, machine learning, engineering, or a related field with a focus ...
Hawthorne, CA · On-site
$145K - $175K/yr
Stay current with the latest research in neural operators, physics-informed ML, and surrogate ... Master's or PhD in computer science, machine learning, engineering, or a related field with a focus ...
... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
$145K - $175K/yr
Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
$145K - $175K/yr
Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
Hawthorne, CA · On-site
$145K - $175K/yr
Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
Hawthorne, CA · On-site
$145K - $175K/yr
Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
Hawthorne, CA · On-site
$145K - $175K/yr
Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
Hawthorne, CA · On-site
$145K - $175K/yr
Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural networks-to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield ...
Los Angeles, CA · On-site
They are seeking a Machine Learning Engineer to develop solutions that enhance performance in ... physics, mathematics or statistics • Familiarity with relational and NoSQL databases • ...
Los Angeles, CA · On-site
They are seeking a Machine Learning Engineer to develop solutions that enhance performance in ... physics, mathematics or statistics • Familiarity with relational and NoSQL databases • ...
Design and develop machine learning models for complex, multi-physics manufacturing processes ... Develop hybrid modeling approaches that combine first-principles physics with data-driven learning.
Design and develop machine learning models for complex, multi-physics manufacturing processes ... Develop hybrid modeling approaches that combine first-principles physics with data-driven learning.
Design and develop machine learning models for complex, multi-physics manufacturing processes ... Develop hybrid modeling approaches that combine first-principles physics with data-driven learning.
Quick apply
Design and develop machine learning models for complex, multi-physics manufacturing processes ... Develop hybrid modeling approaches that combine first-principles physics with data-driven learning.
Design and develop machine learning models for complex, multi-physics manufacturing processes ... Develop hybrid modeling approaches that combine first-principles physics with data-driven learning.
Design and develop machine learning models for complex, multi-physics manufacturing processes ... Develop hybrid modeling approaches that combine first-principles physics with data-driven learning.
... Physics, or another quantitative field. * 5+ years building, evaluating, and deploying machine ... Strong experience with modern deep learning frameworks and production ML workflows. * Experience ...
... Physics, or another quantitative field. * 5+ years building, evaluating, and deploying machine ... Strong experience with modern deep learning frameworks and production ML workflows. * Experience ...
Los Angeles, CA · On-site
$150K - $180K/yr
Advanced degree in a quantitative field such as electrical and computer engineering, physics ... Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python ...
Los Angeles, CA · On-site
$150K - $180K/yr
Advanced degree in a quantitative field such as electrical and computer engineering, physics ... Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python ...
$150K - $180K/yr
Advanced degree in a quantitative field such as electrical and computer engineering, physics ... Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python ...
$150K - $180K/yr
Advanced degree in a quantitative field such as electrical and computer engineering, physics ... Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python ...
... Physics, or another quantitative field. * 5+ years building, evaluating, and deploying machine ... Strong experience with modern deep learning frameworks and production ML workflows. * Experience ...
... Physics, or another quantitative field. * 5+ years building, evaluating, and deploying machine ... Strong experience with modern deep learning frameworks and production ML workflows. * Experience ...
Hawthorne, CA · On-site
$124K - $163K/yr
OR 8+ years of professional experience building and deploying AI software/Machine Learning in lieu ... physics-informed neural networks (PINNs) or surrogate modeling Company : SpaceX develops and ...
Hawthorne, CA · On-site
$124K - $163K/yr
OR 8+ years of professional experience building and deploying AI software/Machine Learning in lieu ... physics-informed neural networks (PINNs) or surrogate modeling Company : SpaceX develops and ...
$5.77 - $7.77
0% of jobs
$7.77 - $9.77
0% of jobs
$9.77 - $11.78
0% of jobs
$11.78 - $13.78
24% of jobs
$13.87 is the 25th percentile. Wages below this are outliers.
$13.78 - $15.78
16% of jobs
$15.78 - $17.78
0% of jobs
$17.78 - $19.79
0% of jobs
$19.79 - $21.79
0% of jobs
$21.79 - $23.79
0% of jobs
The median wage is $24.27 / hr.
$23.79 - $25.79
40% of jobs
$25.79 - $27.79
19% of jobs
$5
$21
$27
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.
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.
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.
$120K - $141K/yr
Full-time
Posted yesterday
6.0
Based on 13 frontline employees who took The Breakroom Quiz
