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Staff Machine Learning Engineer at Terra AI | Remote

Terra AIUS remote
Remote Full-time

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Experience Level

Mid to Senior

Qualifications

QualificationsRequired Qualifications:Extensive experience with PyTorch, including proficiency in writing custom modules, optimizing training processes, and troubleshooting large-scale models. Proven expertise in developing large-scale deep learning models from inception, demonstrating a clear ability to design, implement, and train complex architectures.

About the job

About Terra AI

At Terra AI, we are pioneering a cutting-edge AI platform dedicated to the discovery and development of clean energy and mineral resources. Our innovative approach combines advanced techniques in generative AI, foundation modeling, and autonomous decision optimization to address critical challenges in geosciences. Our systems enhance the reliability in identifying vital resource deposits, expedite measurement and characterization processes, and facilitate the creation of more efficient and sustainable production strategies.

Supported by Khosla Ventures and other prominent investors, we are set to expand our team from approximately 15 to 30 members by year-end. This growth aims to further refine our technology and bolster collaborations with our esteemed mineral and clean energy partners.

Role Description

We are on the lookout for a skilled deep learning engineer or scientist to spearhead the development of a generative model. This model will be instrumental in producing 3D geological representations based on geophysical surveys, borehole measurements, and other physical observations. The outputs generated will encapsulate our knowledge and gaps regarding the subsurface state, empowering explorers to make informed decisions on critical resource exploration.

About Terra AI

Terra AI is at the forefront of integrating AI with clean energy and mineral resource development, striving to leverage advanced technology for sustainable exploration and production.

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