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.
"Your pronunciation was 73% accurate" is useless feedback. "You pronounced the /θ/ sound in 'think' as /t/ — try placing your tongue between your fron...
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Every content team asks the same question before hitting publish: "Will this go viral?" Most answers are gut feeling. Ours is a prediction model train...
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Posted 4 months ago
United States — New York (UTC-4)
Most data breaches involve an insider — either a malicious employee, a compromised account, or a negligent user. Traditional DLP systems catch obvious...
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AI-generated voices are now indistinguishable from real ones to the human ear. That's exciting for synthetic media and terrifying for voice authentica...
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Enterprise brands produce thousands of content pieces per month — blog posts, social updates, email campaigns, ad copy, support responses — and mainta...
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Facial performance capture takes an actor's face and maps it onto a digital character — preserving every micro-expression, eye movement, and lip sync...
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Synthetic identity fraud is the fastest-growing financial crime in the US — fraudsters combine real and fabricated identity elements to create persona...
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Grocery retailers throw away $18.2 billion in fresh produce every year because they can't predict when items will expire. A strawberry batch from farm...
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Posted 4 months ago
United States — New York (UTC-4)
Chatbot conversations are easy to generate and hard to evaluate. BLEU scores and perplexity tell you nothing about whether the bot actually solved the...
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Deploying a model to the cloud takes minutes. Deploying a model to 15 million edge devices — wearables, industrial sensors, smart cameras — takes week...
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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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