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Full Time Pytorch Jobs in California (NOW HIRING)

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Full-time, on-site in San Francisco. What you will do * Design and ship end-to-end ML systems: data ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Requirements Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow ... Employment Type: FULL_TIME

... Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business ... Requires full-time, on-site presence at the office in San Diego, CA. * Willingness to travel up to ...

Founding Engineer

San Francisco, CA · On-site

$160K - $220K/yr

San Francisco, CA · On-site · Full-time Compensation: $160,000-$220,000 + ~0.5% equity About the ... PyTorch fluency is a nice-to-have. Requirements * 0-3 years of engineering * Backend + ML + systems

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Full Time Pytorch information

What is the difference between Full Time Pytorch vs Machine Learning Engineer?

AspectFull Time PytorchMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with PytorchBachelor's or higher in CS, Data Science, or related fields; experience with ML frameworks including Pytorch
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learning projectsTech companies, startups, or R&D teams working on ML solutions
Employer & Industry UsagePrimarily in AI research, deep learning projects, and model developmentDeveloping, deploying, and maintaining ML models across various industries

While both roles require knowledge of Pytorch, a Full Time Pytorch position typically focuses on implementing and experimenting with deep learning models using Pytorch. A Machine Learning Engineer often has a broader scope, including deploying models, optimizing algorithms, and working across different ML frameworks. The roles overlap in skills but differ in responsibilities and application scope.

What are the most commonly searched types of Pytorch jobs in California? The most popular types of Pytorch jobs in California are:
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Staff ML Engineer - Build Scalable Multimodal AI Platform (San Francisco)

kadence

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

A leading AI infrastructure company in San Francisco is looking for a Machine Learning Engineer with expertise in model development and scalable ML systems. The role involves creating essential components for multimodal data platforms and enhancing the developer experience for AI teams. Ideal candidates should possess strong Python skills and experience with ML frameworks like PyTorch or TensorFlow. This is a full-time position with a focus on advancing AI infrastructure solutions.
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