Remote PyTorch ML Engineer — Deep Learning & GPUs

BairesDev; Chile; Presencial; CLP 109.689.000 - 164.534.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

USD or local currency compensation

Hardware and software setup for home

Flexible hours

Paid parental leaves, vacations, and H

Descripción de la vacante

BairesDev is hiring a Software Engineer (PyTorch) for remote work. You will design and optimize deep learning models and training pipelines using PyTorch, with a focus on CUDA-driven performance. Join a global team delivering AI solutions and collaborating with data scientists to deploy production-ready software.

The role emphasizes deep learning architectures, training efficiency, and scalable data pipelines, with 100% remote work and competitive USD compensation.

Formación

• 4+ years of experience in software engineering, ML, or data science.
• Proven PyTorch experience for deep learning models and training pipelines.
• Experience optimizing models with CUDA and GPU acceleration.
• Knowledge of core DL architectures and training best practices.
• Understanding PyTorch internals or custom extensions is a plus.

Responsabilidades

• Design and implement deep learning architectures and training workflows using PyTorch.
• Optimize model performance and training efficiency by leveraging CUDA and GPU acceleration.
• Develop and maintain scalable data pipelines for model training, evaluation, and deployment.
• Troubleshoot and refine complex model behaviors to ensure accuracy and reliability.
• Collaborate with data scientists to translate theoretical research into production-ready software.

Conocimientos

PyTorch

Deep learning

CUDA

GPU acceleration

Data pipelines

English

Systems programming

Herramientas

PyTorch internals

Custom extensions

CUDA toolkit

Descripción del empleo

BairesDev is hiring a Software Engineer (PyTorch) for remote work. You will design and optimize deep learning models and training pipelines using PyTorch, with a focus on CUDA-driven performance. Join a global team delivering AI solutions and collaborating with data scientists to deploy production-ready software.

The role emphasizes deep learning architectures, training efficiency, and scalable data pipelines, with 100% remote work and competitive USD compensation.