Senior ML Researcher: 3D Diffusion for Subsurface Modeling

Terra AI; United States; Remote; USD 100,000 - 150,000; Full time

Job summary

A leading AI firm in the United States is seeking a talented Deep Learning Engineer to lead the development of revolutionary 3D geological models for clean energy applications. Responsibilities include designing and iterating on diffusion models and collaborating with project teams. Required qualifications include extensive experience in PyTorch, expertise in deep learning model development, and strong data curation skills. This innovative role supports clean energy initiatives and involves working at the forefront of AI technology.

Qualifications

• Extensive experience in PyTorch, including custom module writing and large-scale model debugging.
• Proven ability to create and train complex deep learning architectures from scratch.
• Experience in creating and maintaining high-quality datasets for ML applications.
• Proficient in software development best practices.

Responsibilities

• Design, train, test, and iterate on diffusion models for 3D geological models.
• Adapt modeling approaches for real-world projects in collaboration with teams.
• Inform the generation of synthetic data to improve model performance.

Skills

PyTorch Experience

Deep Learning Model Development

Data Curation Skills

Software Engineering

Job description

A leading AI firm in the United States is seeking a talented Deep Learning Engineer to lead the development of revolutionary 3D geological models for clean energy applications. Responsibilities include designing and iterating on diffusion models and collaborating with project teams. Required qualifications include extensive experience in PyTorch, expertise in deep learning model development, and strong data curation skills. This innovative role supports clean energy initiatives and involves working at the forefront of AI technology.