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Pytorch Developer Jobs in British Columbia (NOW HIRING)

Targeted Talent

Senior Deep Learning Engineer

Vancouver, BC · On-site +1

$130K - $180K/yr

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with ... Proficiency in deep learning frameworks like Tensorflow and/or PyTorch * Experience with CNNs ...

Fortinet, Inc.

AI Application Developer

Burnaby, BC

CA$107K - CA$179K/yr

... or PyTorch. * LLM Application Development: Proven experience building applications with Large ... RAG). * DevOps Knowledge: Hands-on experience with CI/CD tools, containerization (Docker ...

Fortinet

AI Application Developer

Burnaby, BC · On-site

CA$107K - CA$179K/yr

... or PyTorch. * LLM Application Development: Proven experience building applications with Large ... RAG). * DevOps Knowledge: Hands-on experience with CI/CD tools, containerization (Docker ...

BDO Canada

Senior Machine Learning Engineer

Vancouver, BC

CA$84K - CA$128K/yr

Implement CI/CD workflows using tools such as Azure DevOps or GitHub Actions. * Ensure operational ... Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch ...

Mythic

AI Algorithms/Software Engineer

Vancouver, BC · On-site

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Develops advanced quantization-aware and analog-aware retraining algorithms leveraging PyTorch and ...

Mythic

AI Algorithms/Software Engineer

Vancouver, BC

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Develops advanced quantization-aware and analog-aware retraining algorithms leveraging PyTorch and ...

CRWN.ai

Jr Data Analyst

Kelowna, BC · On-site +1

Familiarity with PyTorch Lightning or similar machine learning frameworks * Programming experience in one or more of the following: Python, C++, Java, PHP * Ability to work well in cross-functional ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in British Columbia? For Pytorch Developer jobs in British Columbia, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in British Columbia look for? The top searched job categories for Pytorch Developer jobs in British Columbia are:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in British Columbia as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Senior Deep Learning Engineer

Senior Deep Learning Engineer

Targeted Talent

Vancouver, BC • On-site, Remote

$130K - $180K/yr

Full-time

Posted 3 days ago

Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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