Experience with physics simulation engines and tools for training RL. * Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry experience with ...
Experience with physics simulation engines and tools for training RL. * Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry experience with ...
AI/ML Postdoctoral Researcher
Livermore, CA · On-site
$9.8K/wk
... Physics and Artificial Intelligence/Machine Learning (AI/ML) to make immediate, high-impact ... and physics-informed neural networks for laser physics modeling. * Solve abstract and complex ...
AI/ML Postdoctoral Researcher
Livermore, CA · On-site
$9.8K/wk
... Physics and Artificial Intelligence/Machine Learning (AI/ML) to make immediate, high-impact ... and physics-informed neural networks for laser physics modeling. * Solve abstract and complex ...
AI/ML Postdoctoral Researcher
Livermore, CA · On-site
$123K/yr
... Physics and Artificial Intelligence/Machine Learning (AI/ML) to make immediate, high-impact ... and physics-informed neural networks for laser physics modeling. * Solve abstract and complex ...
AI/ML Postdoctoral Researcher
Livermore, CA · On-site
$123K/yr
... Physics and Artificial Intelligence/Machine Learning (AI/ML) to make immediate, high-impact ... and physics-informed neural networks for laser physics modeling. * Solve abstract and complex ...
Minimum Qualifications Strong Expertise in Machine Learning, Deep Learning, and Optimization Knowledges of Finite Element Analysis and/or other numerical methods in computational physics and ...
Minimum Qualifications Strong Expertise in Machine Learning, Deep Learning, and Optimization Knowledges of Finite Element Analysis and/or other numerical methods in computational physics and ...
2026 Fall Intern - Research & Development: AI/ML
$17.75 - $23.50/hr
Experience with machine learning model development, evaluation, and deployment workflows ... Familiarity with generative AI, large language models, deep learning, or physics-informed/data ...
2026 Fall Intern - Research & Development: AI/ML
$17.75 - $23.50/hr
Experience with machine learning model development, evaluation, and deployment workflows ... Familiarity with generative AI, large language models, deep learning, or physics-informed/data ...
Machine Learning Engineer - Physical AI
San Diego, CA · On-site
$120K/yr
Develop physics-informed and data-free models (PINNs, neural operators, differentiable simulators ... Published work or projects in scientific machine learning, computational physics, or neural ...
Quick apply
Machine Learning Engineer - Physical AI
San Diego, CA · On-site
$120K/yr
Develop physics-informed and data-free models (PINNs, neural operators, differentiable simulators ... Published work or projects in scientific machine learning, computational physics, or neural ...
Experience with physics simulation engines and tools for training RL. * Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry experience with ...
Experience with physics simulation engines and tools for training RL. * Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry experience with ...
By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Strong familiarity with molecule generation, chemical foundation models, and/or physics-informed ML
By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Strong familiarity with molecule generation, chemical foundation models, and/or physics-informed ML
Machine Learning Physics Graduate Student
Livermore, CA · On-site
$6.7K - $8.2K/mo
We have multiple openings for Machine Learning Graduate Student Interns to engage in practical ... These positions are in in the Equation of State Materials Theory Group of the Physics Division of ...
Machine Learning Physics Graduate Student
Livermore, CA · On-site
$6.7K - $8.2K/mo
We have multiple openings for Machine Learning Graduate Student Interns to engage in practical ... These positions are in in the Equation of State Materials Theory Group of the Physics Division of ...
Senior Applied AI/ML Scientist
San Francisco, CA · On-site +1
By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Strong familiarity with molecule generation, chemical foundation models, and/or physics-informed ML
Senior Applied AI/ML Scientist
San Francisco, CA · On-site +1
By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Strong familiarity with molecule generation, chemical foundation models, and/or physics-informed ML
Machine Learning Research Engineer
Livermore, CA · On-site
$146K - $222K/yr
We have an opening for Machine Learning Research experts to join our team and advance the ... Experience in working with subject matter experts in one or more areas, such as physics, biology ...
Machine Learning Research Engineer
Livermore, CA · On-site
$146K - $222K/yr
We have an opening for Machine Learning Research experts to join our team and advance the ... Experience in working with subject matter experts in one or more areas, such as physics, biology ...
Machine Learning Research Engineer
$146K - $222K/yr
We have an opening for Machine Learning Research experts to join our team and advance the ... Experience in working with subject matter experts in one or more areas, such as physics, biology ...
Machine Learning Research Engineer
$146K - $222K/yr
We have an opening for Machine Learning Research experts to join our team and advance the ... Experience in working with subject matter experts in one or more areas, such as physics, biology ...
Machine Learning Research Engineer
Livermore, CA · On-site
$9.8K/wk
We have an opening for Machine Learning Research experts to join our team and advance the ... Experience in working with subject matter experts in one or more areas, such as physics, biology ...
Machine Learning Research Engineer
Livermore, CA · On-site
$9.8K/wk
We have an opening for Machine Learning Research experts to join our team and advance the ... Experience in working with subject matter experts in one or more areas, such as physics, biology ...
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.
Machine Learning Engineer
San Jose, CA · On-site
Optimize machine learning models for performance and accuracy ... Analyze large datasets to extract meaningful insights and drive data-informed decisions * Engage in ...
Machine Learning Engineer
San Jose, CA · On-site
Optimize machine learning models for performance and accuracy ... Analyze large datasets to extract meaningful insights and drive data-informed decisions * Engage in ...
Machine Learning Engineer
San Jose, CA · On-site
Optimize machine learning models for performance and accuracy ... Analyze large datasets to extract meaningful insights and drive data-informed decisions * Engage in ...
Machine Learning Engineer
San Jose, CA · On-site
Optimize machine learning models for performance and accuracy ... Analyze large datasets to extract meaningful insights and drive data-informed decisions * Engage in ...
Machine Learning FEA Engineer
$142K - $263K/yr
The machine learning models will drive rapid design iterations by assessing potential risks and ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...
Machine Learning FEA Engineer
$142K - $263K/yr
The machine learning models will drive rapid design iterations by assessing potential risks and ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...
Machine Learning FEA Engineer
$142K - $263K/yr
The machine learning models will drive rapid design iterations by assessing potential risks and ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...
Machine Learning FEA Engineer
$142K - $263K/yr
The machine learning models will drive rapid design iterations by assessing potential risks and ... in computational physics and mechanics Proficiency in Python and relevant packages for ML ...
Physics Informed Machine Learning information
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.
What are popular job titles related to Physics Informed Machine Learning jobs in California? For Physics Informed Machine Learning jobs in California, the most frequently searched job titles are:
- Manager Remote Machine Learning Engineer
- Machine Learning Developer
- Volunteer Junior Machine Learning Engineer
- Urgently Hiring Machine Learning Engineer New Grad
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- Machine Engineer
What job categories do people searching Physics Informed Machine Learning jobs in California look for? The top searched job categories for Physics Informed Machine Learning jobs in California are:
- Machine Learning Engineer Software Engineer
- Senior Meta Machine Learning
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What cities in California are hiring for Physics Informed Machine Learning jobs? Cities in California with the most Physics Informed Machine Learning job openings:
Other
Re-posted 2 days ago
Job description
Position Overview
We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.
Responsibilities- Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
- Design and conduct experiments to train RL models and conduct real-world tests.
- Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
- Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
- Analyze and interpret experimental results, iterating on model design to achieve desired performance.
- Stay up-to-date with the latest research and advancements in reinforcement learning.
- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
- Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
- Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
- Strong background in algorithms, data structures, and software engineering principles.
- Experience with physics simulation engines and tools for training RL.
- Deep understanding of state-of-the-art machine learning techniques and models.
- Extensive industry experience with reinforcement learning and robotic systems.