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.
Shell companies exist to obscure who actually controls an asset. A sanctioned individual owning 24% of a holding company that owns 33% of an operating...
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Our conversational AI platform powers customer service bots for 95 enterprise clients. Every bot has tens of thousands of conversations per week. How...
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Our clients include 18 regional banks and 7 credit unions who have been underwriting consumer and SMB loans with the same FICO-centric models for fift...
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Simulating a crowd of 50 hand-animated characters looks expensive. Simulating a believable crowd of 50,000 requires a fundamentally different approach...
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Individual transaction fraud models are good at catching individual fraudsters. They're bad at catching fraud rings — coordinated networks where indiv...
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Stack Overflow's 'how do I do X in Python' worked when codebases were small. When your codebase is 8 million lines of proprietary code, the question i...
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Labeling data is expensive. Our clients spend $0.04-$0.12 per labeled example and produce 50,000 new labels per week, which means annotation budgets a...
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Every customer success team has a lifecycle model on paper. Few have one that actually drives automated action. The gap between 'we know customers go...
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Urban heat islands kill people. In Chicago's 1995 heat wave, 739 people died — disproportionately in dense, low-income neighborhoods with little tree...
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Spaced repetition is the best-validated vocabulary acquisition technique in the learning science literature. Most language apps implement it badly: fi...
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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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