Remote positions
Browse vetted remote PyTorch positions at companies building with deep learning, LLM fine-tuning, and production model serving — all roles manually reviewed.
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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
Millions of images on the web still have no description at all, which makes them invisible to blind and low-vision users. Vordex Tech builds accessibi...
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Posted 1 week ago
Unknown country — UTC (UTC+0)
We publish our methods internally every quarter and encourage the team to submit to remote sensing conferences. Zaltex Data provides location intellig...
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Every one of the 1.2 million devices running our firmware will lean on the model you build to tell its owner how much battery life is really left. Cel...
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PyTorch segmentation models, a render farm of 60 GPU nodes and Nuke scripts held together with a lot of Python: that is the toolkit you'll work with a...
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Every image our users generate costs us about four seconds of GPU time today. Cutting that to under one second would change our pricing, our margins a...
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Posted 1 week ago
United States — Chicago (UTC-5)
Our clients in insurance and public services still receive thousands of handwritten forms each week. Our document automation platform handles typed fo...
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Roughly 40,000 patients wear one of our partner patches every night, and the alerts your models raise will reach a cardiologist before breakfast. Orbi...
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Most of the quantitative evidence in a research paper lives inside its charts, not its text. Researchers using our systematic review platform keep ask...
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Our mission is simple to state and hard to deliver: give communities a few more hours of warning before water reaches their streets. Physical hydrauli...
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As a fully async team spread across eight time zones, we believe great engineers can do great work without ever sharing a timezone with their manager....
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Role guide
PyTorch has become the default framework for deep learning research and production at leading AI labs. Remote PyTorch jobs range from model training and fine-tuning to deployment and inference optimisation. The most competitive candidates combine strong PyTorch internals knowledge with production ML system experience.
What remote PyTorch jobs are posted on RemoteAI?
Primarily deep learning engineering roles, LLM fine-tuning positions, and research engineering jobs. Most require hands-on PyTorch model development experience — not just API-level usage.
Do I need Hugging Face experience for PyTorch jobs?
Most companies posting PyTorch roles on RemoteAI use Hugging Face Transformers. Strong familiarity with the HF ecosystem — especially for fine-tuning and inference — significantly improves your application.
What seniority levels are available for remote PyTorch jobs?
Mostly mid-to-senior. PyTorch roles tend to require production experience — companies building LLM or vision systems want engineers who have debugged training instability, not just run tutorials.
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