Remote PyTorch Software Engineer — Deep Learning & GPU Optimized

BairesDev

United States

Remote

MXN 1,868,000 - 3,226,000

Full time

21 hours ago
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Benefits offered by this job

100% remote work
USD or local currency compensation
Hardware and software setup for home
Flexible hours
Paid parental leaves and holidays
Global Top 1% talent community

Job summary

BairesDev is seeking a Software Engineer (PyTorch) to design and implement deep learning architectures and robust training pipelines powering state-of-the-art AI solutions.

You will optimize performance with CUDA, build scalable data pipelines, and collaborate with data scientists to translate research into production-grade software. This role emphasizes remote work and global impact.

Qualifications

  • 4+ years in Software Engineering, ML Engineering, or Data Science.
  • Proven experience building deep learning models and training pipelines with PyTorch.
  • Proficiency in optimizing model performance using CUDA and GPU acceleration.
  • Strong English communication and collaboration skills.

Responsibilities

  • Design and implement deep learning architectures and training workflows using PyTorch.
  • Optimize model performance and training efficiency via 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 expertise
CUDA
Deep learning
English

Tools

PyTorch
CUDA

Job description

BairesDev is seeking a Software Engineer (PyTorch) to design and implement deep learning architectures and robust training pipelines powering state-of-the-art AI solutions.

You will optimize performance with CUDA, build scalable data pipelines, and collaborate with data scientists to translate research into production-grade software. This role emphasizes remote work and global impact.

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