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.
Our clients — PR agencies and brand managers — need to know what people are saying about their brands, and whether the tone is positive, negative, or...
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When a client asks 'which GPU instance should I use for this model?' — we give them a data-driven answer instead of a guess. Our benchmarking platform...
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Industrial equipment fails in patterns — but only if you know how to read the sensor data. Our predictive maintenance platform monitors 15,000 machine...
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A test suite that fails 200 times per day is useful only if engineers can quickly determine which failures are real bugs versus flaky infrastructure v...
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Creative teams produce ad variants by intuition and test them by running campaigns that cost $50,000 to learn which headline converts better. That fee...
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By the time a deforestation event appears in a quarterly satellite mosaic, thousands of hectares may already be gone. Near-real-time detection from Se...
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Automated speaking assessment is one of the hardest problems in language learning technology. A learner records a sentence. You need to evaluate pronu...
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The best customers you have not found yet look like your best customers. Lookalike modeling — building audience segments that share behavioral and dem...
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Context windows are getting longer, but the fundamental economics remain unchanged: longer contexts cost more per token, and most tokens in a long con...
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An AI tutor that explains a concept clearly once is useful. An AI tutor that notices when the student is confused, adapts its explanation approach, pr...
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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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