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.
Coordinated disinformation campaigns don't look like organic content at the network level. Inauthentic accounts amplify each other in timing patterns...
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Automotive paint defects are classified into dozens of specific types — cratering, orange peel, runs, sags, fisheyes, dirt nibs, solvent pop, delamina...
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Signature-based ransomware detection is a cat-and-mouse game that defenders consistently lose: a new variant bypasses known signatures within hours of...
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Posted 3 months ago
United States — Los Angeles (UTC-7)
Mixing two tracks requires that their tempos align. Syncing a musical track to video requires that beat positions match edit points and scene transiti...
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A model explanation that changes significantly every time you ask it isn't trustworthy. SHAP values computed on the same instance twice, with only ran...
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AI image generation has a composition problem: models can generate photorealistic images with poor compositional quality — awkward subject placement,...
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RAG performance lives or dies on chunking strategy. Fixed-size character chunks miss sentence boundaries and break coherent thought units. Sentence-le...
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Brand advertising is notoriously difficult to measure. Conversion attribution captures last-click sales. It doesn't capture the awareness campaign tha...
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A robot arm reaching for an object needs to know not just that the object is a cup — it needs to know the cup's exact 3D position, orientation, and gr...
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Federal and state agencies receive thousands of public comments on proposed regulations. The EPA received 1.2 million comments on a single Clean Air A...
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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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