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Senior Scientific Machine Learning Engineer – Earth-2

US, CA, Santa Clara R

USD 152K-287K Senior-level Full Time

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Found 12d ago

Tasks

Apply machine learning to real world weather and climate scenarios
Develop machine learning frameworks for weather and climate
Develop scientific visualization capabilities
Implement and experiment with new deep learning ideas
Integrate new platform functionalities
Optimize models for performance
Stay current with deep learning research
Validate applications on NVIDIA products

Perks/Benefits

Skills/Tech-stack

CUDA | Containers | Data parallelism | Diffusion Models | GPU Kernel | GPU kernel programming | Graph networks | High Performance | High-Performance Computing | JAX | Kernel programming | Model Parallelism | Modular Software Design | Modular software | NCCL | NumPy | OpenMPI | Performance Computing | PyTorch | Python | Regridding | Reinforcement Learning | Scientific Visualization | Software Design | TensorFlow | Xarray | Zarr

Education

Bachelor of Science | Master of Science | PhD

Roles

Engineer | Learning Engineer | Machine Learning Engineer | Scientific Machine Learning Engineer

Regions

Countries

States

Villa Clara Province, CU

Cities

Santa Clara, Villa Clara Province, CU

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