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.
Commercial real estate valuations rely on cap rate comparables and DCF models built in Excel by analysts who manually pull comps from three different...
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How much should you spend to acquire a user you've never seen before? If your LTV model can answer that question in the first 3 days of a user's lifec...
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Synthetic data is only as useful as the privacy guarantees it provides. If a synthetic dataset leaks information about the individuals it was generate...
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Pharmaceutical companies spend $2M per compound just on microscopy analysis during drug discovery — most of it on a human expert scrolling through 40,...
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Finding a biomarker for early disease detection is a needle-in-a-haystack problem at genomic scale. A typical discovery project involves 500GB of mult...
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Our logistics platform prices 2.8 million freight quotes per day. Each quote needs to balance carrier capacity, route congestion, fuel costs, customer...
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Voluntary carbon markets depend on accurate sequestration estimates — but the current methods are 15 years old and based on sparse field measurements....
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Every NPC in every game ever made says the same 12 lines. Players memorize them, stop listening, and the world stops feeling alive. We're replacing th...
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Neural radiance fields changed what's possible in 3D reconstruction — but the original NeRF pipeline takes 12 hours to train and another 2 to render a...
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The 2008 financial crisis was partly a failure of risk models that assumed normal distributions and ignored tail correlations. Our mission is to build...
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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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