Remote PyTorch ML Engineer — Deep Learning & GPUs

BairesDev; Chile; Remote; CLP 88,063,000 - 146,771,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Hardware supplied

Flexible hours

Parental leave & holidays

Global top 1% talent network

Job summary

BairesDev is hiring a Software Engineer specialized in PyTorch to develop deep learning models and robust training pipelines. You will implement high-performance neural networks and optimize their execution for production-grade environments.

The role is fully remote, offers excellent USD compensation or local currency, and includes hardware setup, flexible hours, and a collaborative global team of top-tier engineers.

Qualifications

• 4+ years of experience in Software Engineering, ML Engineering, or Data Science.
• Proven expertise in developing deep learning models and training pipelines using PyTorch.
• Proficiency in optimizing model performance using CUDA and GPU acceleration.
• Hands-on experience with core deep learning architectures and model training best practices.

Responsibilities

• 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.
• Stay current with the PyTorch ecosystem to implement custom extensions or contribute to framework internals.
• Collaborate with data scientists to translate theoretical research into production-ready software.

Skills

PyTorch

CUDA

GPU acceleration

Deep learning

Data pipelines

English proficiency

Tools

Python

CUDA toolkit

Job description

BairesDev is hiring a Software Engineer specialized in PyTorch to develop deep learning models and robust training pipelines. You will implement high-performance neural networks and optimize their execution for production-grade environments.

The role is fully remote, offers excellent USD compensation or local currency, and includes hardware setup, flexible hours, and a collaborative global team of top-tier engineers.