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.
Songwriter workflows are broken. The gap between 'I have these lyrics' and 'I have a melody that fits them' requires either expensive studio time with...
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Object removal sounds like a simple task until the object you're removing is a lamppost in front of a Victorian building and the background needs to r...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
LLM inference latency is the core product metric for every API we serve. When a legal research tool waits 8 seconds for a response, lawyers switch tab...
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Regulatory risk is qualitative until someone has to put a number on it. When a CISO presents to the board, they need to say 'our current compliance ga...
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Vision tells a robot what to pick up. Touch tells it whether the grasp is working. Our manipulation platforms have achieved high grasp success rates o...
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Posted 4 months ago
United States — New York (UTC-4)
We closed our Series B two quarters ago and the pressure is on conversion. Our trial-to-paid rate is 18%. Our best competitors are at 26-31%. Closing...
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GPU memory fragmentation is the silent killer of training throughput. A cluster that should deliver 94% MFU sits at 71% because memory allocations fro...
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A knowledge graph is only as good as the relations that connect its entities. We have 14 million nodes; the edges between them — who acquired whom, wh...
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Posted 4 months ago
United States — New York (UTC-4)
Pharmacovigilance is legally required but functionally broken at most pharmaceutical companies. FDA receives over 2 million adverse event reports per...
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Clinical notes are where 80% of medically relevant information lives — and 0% of it is machine-readable without significant NLP work. A cardiologist's...
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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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