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.
Weather forecasts predict rain. Our models predict what rain does — to crop yields, energy demand, supply chain routes, and insurance claim volumes. W...
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Game economies are complex systems where a small parameter change — adjusting the gold drop rate by 5% — can crash the entire virtual market within 48...
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Estimating depth from a single 2D image is one of those problems that humans do effortlessly and computers do terribly — until recently. Modern monocu...
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Counting trees from space sounds trivial until you realize that cloud shadows, seasonal leaf changes, overlapping canopies, and sensor noise turn a "s...
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Matching patients to clinical trials is a needle-in-a-haystack problem multiplied by regulatory complexity. There are 450,000 active trials globally,...
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LLM context windows keep getting longer, but throwing 200K tokens at every query is like using a firehose to water a plant. Our platform helps enterpr...
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Our fraud detection models block $2M in fraudulent transactions every week for mid-size e-commerce companies. That number should be higher. We know th...
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We publish internally and submit to FAccT, AIES, and NeurIPS safety workshops. But unlike pure research labs, every finding we produce feeds directly...
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Somewhere between pure research and pure engineering, there's a sweet spot where reading papers on Monday leads to shipping code on Friday. That's thi...
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We process satellite imagery to monitor deforestation, urban sprawl, and agricultural land use for environmental NGOs and government agencies. Our mod...
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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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