Physics Informed Machine Learning Jobs in California

They are seeking a Physics Informed Machine Learning Scientist to join a research team focused on creating next-generation lithography light source technologies through advanced data management and ...

The Physics Informed Machine Learning Scientist works on the Virtual Source team building integrated master-model frameworks to capture the tightly coupled, multi-physics behavior of the system ...

We have multiple openings for a Physics-Informed Machine Learning Specialist with a strong technical background in integrating artificial intelligence (AI) and machine learning (ML) methodologies ...

Wehave multiple openings for a Physics-Informed Machine Learning Specialist with a strong technical background in integrating artificial intelligence (AI) and machine learning (ML) methodologies with ...

We have multiple openings for a Physics-Informed Machine Learning Specialist with a strong technical background in integrating artificial intelligence (AI) and machine learning (ML) methodologies ...

Advancing physics-informed, AI-driven solvers and surrogate architectures * Advancing multimodal models, data augmentation, sensor fusion, and digital twin capabilities * Driving R&D programs through ...

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 ...

Implement surrogate models, physics-informed neural networks, or generative approaches for scientific problems * Develop data pipelines and frameworks for scientific machine learning across ...

Physics-Informed Machine Learning (PIML): Embed physical constraints (conservation laws, symmetries, and PDEs) directly into the loss functions and inductive biases of deep learning models to ensure ...

Strong grasp of machine learning fundamentals and depth in at least one domain such as computer vision, sensor fusion, language models, or physics-informed neural networks. * Hands-on experience ...

WHAT YOU BRING * 5-10 years of experience in applied machine learning, with significant exposure to scientific computing, engineering simulation, or physics-informed ML. Principal-level candidates ...

Strong grasp of machine learning fundamentals, and depth in at least one core domain (e.g ... Computer Vision, Sensor Fusion, Language Models, Physics-informed NNs) * Experience training models ...

... spacecraft, leveraging machine learning techniques to enhance engineering simulations ... physics-informed ML, and surrogate modeling, implementing new techniques when needed • ...

... with physics-based machine learning - including physics-informed neural networks, simulation-to-real transfer, or learned physical models Cross-disciplinary collaboration experience - hardware ...

... 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 ...

Minimum Qualifications BS and a minimum of 3 years relevant industry experience in machine learning ... physics-informed neural networks, simulation-to-real transfer, or learned physical models Cross ...

Hands-on expertise in machine learning and deep learning for science or physics, including model ... Experience with physics-informed or generative approaches to synthetic data generation, including ...

... physics-informed features, and feedback signals refine model accuracy and generalization across ... Responsibilities Role Overview This role sits at the intersection of machine learning, data ...

... physics-informed features, and feedback signals refine model accuracy and generalization across ... Responsibilities Role Overview This role sits at the intersection of machine learning, data ...

Build, train, and validate machine-learning models that approximate the behavior of physical systems - neural operators, physics-informed networks, and related surrogate models - to evaluate ...