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 core problem of AI safety isn't aligning today's systems — it's maintaining alignment as capabilities scale. Scalable oversight is one of the most...
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Understanding that two sentences are semantically related is table stakes. Understanding that one sentence is the thesis statement of a paragraph, ano...
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Translation is the easy part. Cultural adaptation is what most localization platforms get wrong. A direct translation of 'Free trial — no credit card...
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Thermal cameras see what RGB cameras miss. A PCB with a failing solder joint looks normal in visible light but glows in infrared. A pharmaceutical tab...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
Classifying genomic variants as pathogenic, benign, or variant of uncertain significance (VUS) is one of the most consequential ML problems in medicin...
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We serve 340 retail clients who collectively manage relationships with 15,000 suppliers. Right now, vendor performance evaluation is a quarterly exerc...
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The models you'll ship will influence evacuation decisions for 2.3 million people in high-fire-risk zones across the Western US. County emergency mana...
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Our game platform has 4.2 million registered players and a 30-day retention rate of 34%. The industry benchmark for comparable games is 41%. That 7-po...
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As a fully async team spread across 7 time zones, we believe great engineers can work from anywhere — as long as their code ships reliably and their a...
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What does it mean to truly understand a scene? Our platform processes 3D scans, RGB images, and sparse depth maps from 60 enterprise clients in archit...
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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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