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.
Our creative platform generates 2 million images per day for e-commerce product listings. Each request needs to match brand guidelines, maintain produ...
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Video game studios produce thousands of audio assets per title — footsteps on 20 surface types, weapon impacts at varying distances, ambient environme...
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Two-sided marketplaces fail when supply and demand don't match. Too many sellers in one category and they all starve. Too few in another and buyers le...
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Training robots in the real world is expensive, slow, and occasionally destructive. Our simulation platform lets robotics teams train manipulation pol...
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Real estate listings with 3D walkthroughs sell 31% faster. But traditional 3D scanning requires expensive equipment and trained operators. Our platfor...
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Telecom networks generate 50 billion events per day. Hidden in that noise are the signals that predict outages, security breaches, and capacity exhaus...
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Semiconductor fabs produce wafers worth $50,000 each. A single defect missed during inspection can cascade through the manufacturing process, ruining...
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Our text-to-speech platform creates custom voice models from as little as 30 minutes of recorded audio. Media companies use our voices for audiobook n...
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Insurance underwriting is the art of pricing risk — and our models do it faster and more accurately than traditional actuarial methods. We serve 6 ins...
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Our models predict game outcomes for 6 professional sports leagues. Not for fun — for regulated sportsbooks that need accurate probability estimates t...
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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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