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.
Categorizing a bank transaction sounds simple until you realize that "AMZN*2847XJ" could be groceries, electronics, or a subscription renewal — and yo...
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The discovery feed is the single most important surface in our marketplace — it drives 48% of all buyer-seller connections and directly influences $34...
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Traditional signature-based malware detection catches what it's seen before. Our system catches what it hasn't. We use deep learning to classify malwa...
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Our audio platform has 8 million tracks and 400,000 daily active listeners. The recommendation engine behind the "Discover" tab drives 35% of all list...
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Creating a single photorealistic 3D asset for a game or architectural visualization takes a skilled artist 4-8 hours. Our generative pipeline produces...
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Training a robot to pick irregular objects in simulation takes 4 hours. Getting that policy to work on a real robot arm takes 4 months. The sim-to-rea...
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Our voice synthesis platform can clone a speaker's voice from 30 seconds of audio. That capability is incredibly useful for accessibility, content cre...
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Predicting demand for 45,000 SKUs across 1,200 store locations with 94% accuracy sounds like an academic exercise. For our retail clients, it's the di...
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Keyframe animation takes a skilled artist 2 weeks to produce 10 seconds of realistic character motion. Our procedural animation system generates physi...
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Our GPU clusters handle 2.3 billion inference requests per month, and that number doubles every quarter. The bottleneck isn't compute — it's orchestra...
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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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