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.
SHAP values are great for tabular models. They're useless for explaining why a 70-layer transformer rejected a loan application to a compliance office...
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Generated 3D assets look impressive in a demo reel but fall apart in production when you zoom in on the textures. Tiling artifacts, color banding, res...
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We're building AI tools for digital artists — style transfer, image upscaling, and reference-based generation. Our users are illustrators, concept art...
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A model that's fair at deployment can become unfair within months as the population it serves shifts. Our monitoring platform continuously evaluates d...
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Translating a document is easy. Translating a live customer support conversation in under 200ms while preserving tone, technical terms, and brand voic...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
Differential privacy promises mathematical guarantees that synthetic data can't leak individual records. In practice, the privacy-utility trade-off is...
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Before a brand spends $500K running an ad campaign, they'd like to know if the creative is any good. Our platform scores visual assets — display ads,...
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Words carry meaning. Tone carries intent. When a customer says "that's fine" in a flat voice, it means the opposite of "that's fine" said with enthusi...
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Static alert thresholds are the bane of every on-call engineer's existence. Set them too tight and you get paged at 3 AM for normal traffic fluctuatio...
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Batch ML is yesterday's problem. Our clients need predictions that update as data arrives — fraud scores that reflect the transaction happening right...
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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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