PyTorch ML Engineer — Remote, Flexible Hours

BairesDev

United States

Remote

MXN 1,528,000 - 2,207,000

Full time

10 days ago
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Benefits offered by this job

Remote work (100% from anywhere)
Excellent compensation in USD
Hardware and software setup for home
Flexible hours
Paid parental leaves, vacations, and H

Job summary

BairesDev is expanding a global, 100% remote software engineering team. We seek a PyTorch-focused Software Engineer to build and optimize deep learning models, develop robust training pipelines, and deploy production-grade AI solutions at scale.

Join a world-class, remote-first company that collaborates with top tech giants and startups, offering flexible hours, strong compensation in USD, and a supportive environment for career growth across borders.

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
English proficiency

Tools

GPU acceleration
Model deployment

Job description

BairesDev is expanding a global, 100% remote software engineering team. We seek a PyTorch-focused Software Engineer to build and optimize deep learning models, develop robust training pipelines, and deploy production-grade AI solutions at scale.

Join a world-class, remote-first company that collaborates with top tech giants and startups, offering flexible hours, strong compensation in USD, and a supportive environment for career growth across borders.

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