Remote PyTorch ML Engineer - Deep Learning & GPU

BairesDev; Chile; Remote; CLP 89,641,000 - 129,482,000; Full time

Benefits offered by this job

Remote work from anywhere

Competitive USD salary

Home office setup

Flexible hours

Parental leave

Job summary

BairesDev is seeking a Software Engineer specializing in PyTorch to design and implement deep learning models and robust training pipelines. You will work on production-grade systems, optimize performance with CUDA, and collaborate with data scientists to translate research into scalable software.

The role is 100% remote, offers competitive USD compensation or local currency, flexible hours, and opportunities for mentorship and career growth within a global Top 1% team.

Qualifications

• Experience in developing and deploying ML models.
• Strong PyTorch expertise and training pipelines.
• Experience with CUDA and GPU acceleration.
• Proficient in English.

Responsibilities

• Design and implement deep learning architectures and training workflows with PyTorch.
• Optimize model performance using CUDA and GPU acceleration.
• Develop scalable data pipelines for training, evaluation, and deployment.
• Troubleshoot and refine model behavior for accuracy and reliability.
• Stay current with PyTorch and contribute extensions when appropriate.
• Collaborate with data scientists to translate research into production software.

Skills

PyTorch

Deep learning

CUDA

GPU acceleration

Data pipelines

English

Job description

BairesDev is seeking a Software Engineer specializing in PyTorch to design and implement deep learning models and robust training pipelines. You will work on production-grade systems, optimize performance with CUDA, and collaborate with data scientists to translate research into scalable software.

The role is 100% remote, offers competitive USD compensation or local currency, flexible hours, and opportunities for mentorship and career growth within a global Top 1% team.