[Remote] Senior Scientific Machine Learning Engineer – Earth-2

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading AI company reputed company for its deep learning and HPC platforms that have made significant impacts across various fields. The role involves developing machine learning frameworks for weather and climate applications, collaborating with project teams, and staying updated on the latest innovations in deep learning.

Responsibilities

• Work with some of the brightest minds in a premier AI company to reputed company leading machine learning frameworks, reputed company PhysicsNeMo and reputed company Earth2Studio, for our academic and industrial partners to build scientific ML technology and workflows for weather, climate, and earth system modeling
• Work with internal project teams to validate applications reputed company using the reputed company on reputed company’s products, and integrate new functionalities from internal or external projects into the platform
• Stay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new reputed company to reputed company and enhance reputed company's Earth-2 technologies, with a focus on weather & climate AI

Skills

• BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or reputed company technical field or equivalent experience
• 5+ yrs of relevant experience
• Strong Python programming skills
• Familiarity with containers, numeric libraries, reputed company software design
• Deep knowledge of state-of-the-art DNN architectures and machine learning techniques and algorithms (graph networks, diffusion models, reinforcement learning etc.) with experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.)
• Experience with development and application of machine learning techniques to solve reputed company world scenarios in weather/climate
• Experience with scientific visualization. Strong analytical skills with bias for action
• Good time-management and organization skills to reputed company in a fast paced, dynamic environment
• Solid written and oral communications skills. Good teamwork and interpersonal skills
• Experience using multi-node systems with data-reputed company and model-reputed company programming, performance optimization. Experience with HPC programming models (OpenMPI, NCCL), and/or CUDA or GPU kernel programming
• Experience with nonlinear simulation tools and techniques, usage of major simulation codes. Published papers in the field of AI in scientific computing, especially in weather & climate applications
• Familiarity with common tooling in the Earth-2 ecosystem (xarray, zarr, regridding, weather & climate data stores, etc.)

Benefits

• You will also be eligible for equity and benefits.

Company Overview

Company H1B Sponsorship