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.
Stolen credentials, leaked databases, and attack planning happen on dark web forums days or weeks before they affect our clients. Our monitoring syste...
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A structural weld failure in a pressure vessel, bridge, or pipeline can be catastrophic. Traditional inspection requires certified radiographers to in...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
Source separation models claim impressive SDR scores on standard benchmarks, but those benchmarks don't capture what matters in production: does the s...
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Posted 4 months ago
United States — New York (UTC-4)
"Your loan was denied" tells the applicant nothing. "Your loan was denied because your debt-to-income ratio is 45%; if it were below 38%, you would ha...
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Virtual try-on lets shoppers see how clothes, glasses, or furniture look before buying — reducing returns by 28% for our e-commerce clients. The rende...
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One robot picking items in a warehouse is a control problem. Forty robots picking items simultaneously without colliding, blocking each other's paths,...
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Posted 4 months ago
United States — New York (UTC-4)
Voice biometrics verify identity by matching a speaker's voice against an enrolled voiceprint. The problem: a recording of someone's voice can fool a...
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Adverse drug reactions kill 100,000 people per year in the US alone. Detecting safety signals early in clinical trials — before a drug reaches market...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
Smartwatches collect heart rate, SpO2, activity, and sleep data continuously — but most of that data sits unused until someone has a health scare and...
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Our clients' models work. They're just too expensive to run. A single inference call costs $0.12 when it should cost $0.003. Latency is 800ms when the...
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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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