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.
Multi-turn conversations are where every chatbot falls apart. The user says "Book me a flight to Paris next Tuesday," then "Actually, make it Wednesda...
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Motion capture data recorded on a 6-foot actor needs to look natural when applied to a 4-foot cartoon character with different proportions, joint limi...
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Tables in scanned documents are the bane of every document processing pipeline. A perfectly formatted PDF table becomes a jumbled mess after OCR — mer...
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Every payment transaction has multiple possible paths — different acquiring banks, payment networks, and processing endpoints — and each path has diff...
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Our AI writing assistant works great in English. In German, it's passable. In Japanese, it's embarrassing. We need a freelance localization engineer t...
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Keyword search is dead for our use case. Our users are patent attorneys searching through 100 million patent documents for prior art — and they need s...
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Our healthcare clients want to train ML models but can't share patient data. HIPAA makes real medical datasets a compliance nightmare. The solution: s...
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Our LLM serving infrastructure processes 180 million inference requests per day. At current pricing, that's $2.4M per month in compute costs — and our...
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Marketing budgets are wasted when you spend $200 acquiring a customer who will churn in 3 months. Our CLV prediction models tell marketing teams exact...
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Picking a rigid box from a conveyor belt is robotics 101. Picking a transparent plastic bag of mixed vegetables from a cluttered bin without bruising...
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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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