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.
Insurance fraud costs the industry $80 billion per year in the US alone. For our clients — regional P&C insurers processing 15,000 claims per month —...
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Pixel-diff visual regression catches when something changed. What it doesn't tell you is whether the change matters. A layout shift of 2px on a deskto...
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We publish internally and encourage conference submissions. The person in this role will be expected to stay current with TTS research, implement find...
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Drug interactions kill more people annually than car accidents. Our platform predicts adverse drug-drug interactions using graph neural networks train...
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We build AI agents for video game testing. Instead of humans playing through 400 hours of a game looking for bugs, our RL agents explore game environm...
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Hedge funds spend millions on alternative data — satellite images of parking lots, credit card transaction feeds, social media sentiment — trying to p...
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Last-mile delivery is the most expensive part of logistics, and our AI makes it cheaper. Our route optimization platform serves 8 delivery companies,...
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Court reporters transcribe legal proceedings at 225 words per minute with 98.5% accuracy. Our AI does it at infinite words per minute with 95% accurac...
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We're building AI tools for music producers — not to replace them, but to accelerate their creative process. Our platform generates drum patterns, cho...
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Every user on our learning platform gets a different experience — different content recommendations, different difficulty progression, different revie...
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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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