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 tool you'll build will be used by 10,000+ researchers who currently can't answer a simple question: who in the world is working on problems adjace...
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Posted 3 months ago
United States — Los Angeles (UTC-7)
The ideal difficulty curve in a game keeps the player in flow state: challenged enough to stay engaged, not so overwhelmed that they quit in frustrati...
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Understanding a scene isn't just identifying what objects are present — it's understanding the spatial and semantic relationships between them. A scen...
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Duration risk is the sensitivity of a bond portfolio's value to changes in interest rates. A portfolio with a duration of 8 years loses approximately...
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Catastrophe loss estimation is the actuarial foundation of reinsurance pricing, portfolio accumulation management, and regulatory capital adequacy. Wh...
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Vocal stem separation — isolating the vocal track from a mixed music recording — is a foundational capability for remix production, karaoke generation...
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A systematic review is the gold standard for synthesizing research evidence on a specific clinical or scientific question. It requires a prospectively...
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Posted 3 months ago
United States — New York (UTC-4)
Patent claims are the legally operative portion of a patent: the numbered sentences that define exactly what is owned and what constitutes infringemen...
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Posted 3 months ago
United States — Los Angeles (UTC-7)
Training a large model for 14 days and losing everything to a hardware fault on day 13 is not a theoretical scenario — it happens regularly on GPU clu...
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Prosody is the rhythm, stress, and intonation of spoken language — the difference between a synthetic voice that sounds robotic and one that sounds na...
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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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