Remote positions
Browse vetted remote PyTorch positions at companies building with deep learning, LLM fine-tuning, and production model serving — all roles manually reviewed.
Top matching AI roles
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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
Fast-moving team. Big problem. We need someone who ships. Emrex AI runs inference across a portfolio of 12+ language models — ranging from small, fast...
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Posted 3 months ago
United States — New York (UTC-4)
We publish internally, run weekly paper reading sessions, and expect senior researchers to submit to ICRA, CoRL, and NeurIPS. Fovix Labs is building t...
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Klavio Works builds AI-powered language learning tools used by 300,000 learners across Europe and Latin America. Our grammar and multilingual QA tooli...
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The models you build will be reviewed by surgeons before operations that affect patient outcomes. Orbio AI is expanding from radiology screening into...
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Prixel Labs builds foundational computer vision capabilities for autonomous systems and AR/VR applications. We've invested heavily in 3D reconstructio...
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Posted 3 months ago
United States — New York (UTC-4)
Scirvex Intelligence builds AI tools for research institutions and pharmaceutical R&D teams who need to monitor the scientific literature at scale. Ev...
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The models you build will be used by 80,000 users every day in voice calls, podcast recordings, and remote work environments. Ulara AI's noise cancell...
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Velvix Labs holds a weekly paper reading session that everyone attends. Two of our current researchers have backgrounds at top AI safety organizations...
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We don't care where you work from. We care about the quality of your thinking, your ability to read papers critically, and whether you can ship models...
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We publish internally and encourage conference submissions — the right candidate will read recent papers, implement findings, and contribute to our re...
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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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