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.
Setting the right rental price is a balancing act — too high and the unit sits vacant for months, too low and the landlord leaves thousands on the tab...
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Model accuracy degrades silently when the data distribution shifts — a phenomenon called data drift. A fraud model trained on pre-pandemic transaction...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
Constitutional AI promises models that follow rules without needing thousands of hand-labeled examples for every policy. Define the principle — "don't...
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Accessible interfaces aren't just about screen readers and color contrast. Cognitive accessibility matters too — interfaces that overwhelm users with...
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"Apple" in a tech article refers to a $3 trillion company. "Apple" in a nutrition article refers to a fruit. "Apple" in a Chinese article might appear...
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Posted 4 months ago
United States — New York (UTC-4)
Autocomplete is the most underappreciated search feature. A great autocomplete saves users 4 keystrokes per query on average — which sounds trivial un...
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Financial regulators require banks to test their portfolios against extreme but plausible scenarios: a simultaneous market crash and interest rate spi...
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An insurance carrier's most profitable moment is policy renewal — no acquisition cost, known risk profile, and established relationship. But 22% of po...
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Spatial audio makes music feel like you're standing in the recording studio — instruments placed around you in 3D space, with realistic room acoustics...
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Posted 4 months ago
United States — Chicago (UTC-5)
A temperature spike in reactor vessel 3 causes a pressure drop in the downstream heat exchanger, which triggers a flow rate adjustment in the cooling...
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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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