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.
PyTorch, Kubernetes, and a fleet of inference endpoints serving billions of requests a month are the core of what we build. If you've ever obsessed ov...
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The animations you'll clean up ship in productions watched by millions of viewers, and raw motion capture data almost never arrives usable straight of...
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Our mission is to make sure independent musicians get paid every time their work is sampled, remixed, or reused. This role sits at the center of that...
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Our satellite imagery models flag deforestation, flooding, and construction changes across millions of square kilometers every week. The problem is th...
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As a fully async team spread across nine time zones producing live sports content, we believe great engineers ship automation that quietly removes bot...
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The renders you'll ship are used by real estate listings viewed by tens of thousands of buyers every week. Empty rooms don't sell, and professional st...
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PyTorch, LangChain, and evaluation harnesses built to catch subtle model regressions are the core of what we build. If you'd rather build the tooling...
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PyTorch, real-time computer vision, and Kubernetes-orchestrated inference are the backbone of what we run on factory floors across three continents. D...
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As a fully async team spread across nine time zones, we believe great engineers don't need to sit in the same room to build reliable evaluation infras...
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Our satellite imagery models are accurate in the lab but degrade badly on real-world edge cases like cloud cover and seasonal lighting shifts. We beli...
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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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