Probabilistic Foundation Model Architect Intern

DataRobot; Sacramento (CA); Presencial; USD 120 000 - 160 000; Tempo parcial

Resumo da oferta

DataRobot is creating a multi-target probabilistic foundation model to address complex real-world problems. This internship targets researchers near post-doctoral level who can shape the model encoders reading temporal, tabular, and mixed-modality data, and who will implement, train, and test the PyTorch-based solutions in a production-quality codebase.

The role emphasizes precise reasoning about architectural capabilities, with a focus on practical value over mere benchmarks, and includes

Qualificações

• Post-doctoral level research experience in ML or AI.
• Ability to implement, train, and evaluate PyTorch models in production-grade code.
• Strong background in stochastic modeling is a plus.

Responsabilidades

• Design and prototype a probabilistic foundation model architecture.
• Implement, train, and evaluate models with robust experimentation.
• Collaborate across research and engineering to ship production-ready code.

Conhecimentos

Post-doctoral level

Research

PyTorch

Probabilistic modeling

Ferramentas

PyTorch

Descrição da oferta de emprego

DataRobot is creating a multi-target probabilistic foundation model to address complex real-world problems. This internship targets researchers near post-doctoral level who can shape the model encoders reading temporal, tabular, and mixed-modality data, and who will implement, train, and test the PyTorch-based solutions in a production-quality codebase.

The role emphasizes precise reasoning about architectural capabilities, with a focus on practical value over mere benchmarks, and includes