Remote Deep Learning Research Engineer Intern

DataRobot; Olympia (WA); Teletrabalho; USD 60 000 - 90 000; Tempo integral

Resumo da oferta

DataRobot, a leader in AI platform solutions, seeks a post‑doctoral level researcher to shape probabilistic foundation models. You will implement, train, and evaluate PyTorch models in production‑quality code, focusing on encoders for temporal and mixed‑modality data and scalable architectures.

Expected to design experiments, study memory/throughput, and push toward real‑world usefulness with rigorous evaluation and robust tooling.

Qualificações

• Post‑doctoral level research experience or very close to it.
• Strong PyTorch experience building and training deep models.
• Solid understanding of transformers and long-context architectures.
• Background in probabilistic modeling and uncertainty-aware learning.

Responsabilidades

• Design core model architecture with encoders for temporal, tabular, and mixed data.
• Run controlled architecture studies, ablations, and memory/throughput profiling.
• Build scalable PyTorch implementations for larger input/output spaces.
• Study how data-generation and inference affect benchmark quality and usefulness.
• Translate research ideas into robust, production‑quality code.

Conhecimentos

Transformers

Probabilistic modeling

Statistics

GPU programming

Clean code

Ferramentas

PyTorch

PyTorch Lightning

Git

Descrição da oferta de emprego

DataRobot, a leader in AI platform solutions, seeks a post‑doctoral level researcher to shape probabilistic foundation models. You will implement, train, and evaluate PyTorch models in production‑quality code, focusing on encoders for temporal and mixed‑modality data and scalable architectures.

Expected to design experiments, study memory/throughput, and push toward real‑world usefulness with rigorous evaluation and robust tooling.