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.
Live music is the hardest audio environment to automate. The acoustics change as the crowd fills in. The performer deviates from the rehearsed arrange...
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A partner at an Am Law 100 firm decides whether to take a contingency case partly by gut feel, because predicting litigation outcomes is genuinely har...
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Machine translation quality is easy to measure in controlled benchmarks and hard to measure in production. A BLEU score tells you nothing about whethe...
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Our threat detection platform analyzes 500 million network events per day for mid-size enterprises. Traditional SIEM rules catch the obvious stuff. Ou...
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Our smart agriculture sensors sit in fields across 6 states, running CV models on low-power ARM processors with no internet connection. They detect cr...
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We're building AI tools for motion designers — automated keyframe suggestions, style-consistent animation generation, and intelligent asset library se...
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Clinical notes are the most valuable and least structured data in healthcare. Doctors write them in shorthand, with abbreviations, typos, and domain-s...
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Subscription businesses live and die by MRR predictability. Investors want reliable ARR forecasts; finance needs accurate 12-month revenue projections...
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Full automation isn't always the goal. For high-stakes decisions — medical diagnoses, legal classifications, content moderation at scale — the right a...
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Sea level rise and coastal erosion are reshaping shorelines globally, but quantifying these changes requires analyzing decades of satellite imagery —...
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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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