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.
The same word means different things in different contexts. 'Python' in a developer tool search means the programming language. 'Python' in a nature c...
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Posted 3 months ago
United States — New York (UTC-4)
Implied volatility surfaces encode the market's forward-looking uncertainty across strikes and maturities. A well-calibrated vol surface is the founda...
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Text-to-song generation can produce melodies. It can produce lyrics. What it consistently fails to do is produce melodies that feel natural to sing wi...
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Terminology inconsistency in localization is expensive. A software product that uses 'dashboard' in the English interface but has three different tran...
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A 70B parameter model that fits in theory doesn't always fit in practice. GPU memory fragmentation, activation checkpointing decisions, optimizer stat...
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A speech recognition model trained primarily on American English performs substantially worse on Indian English, Nigerian English, and Scottish Englis...
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Tables inside PDF documents are the bane of document processing. Financial statements with merged cells. Medical forms with spanning headers. Regulato...
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Posted 3 months ago
Unknown country — Detroit (UTC-4)
Dimensional measurement on a manufacturing line currently requires a human with calipers, a CMM machine with setup time measured in hours, or a struct...
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AlphaFold told us what a protein looks like. What it doesn't tell us is what the protein does. Structure-to-function prediction — given a folded prote...
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Posted 3 months ago
United States — Los Angeles (UTC-7)
Speculative decoding is one of the most impactful LLM serving optimizations of the past two years: use a small draft model to generate candidate token...
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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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