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.
We process and analyze 2 million news articles per day across 40 languages for financial intelligence clients. Our NLP pipeline handles entity extract...
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Payment fraud cost our clients $47M last year. They've tried rule-based systems. They've tried off-the-shelf solutions. Now they want custom ML models...
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Energy prices move fast. Grid demand fluctuates by the minute. Battery storage systems need to decide when to charge and when to discharge based on fo...
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Whisper, wav2vec, and other foundation ASR models achieve stunning accuracy on clean speech — and fall apart in real-world conditions. Restaurant back...
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In a two-sided marketplace, matching quality determines everything. Show a buyer the wrong sellers and you lose the buyer. Show a seller the wrong buy...
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When three annotators label the same image, they disagree 35% of the time. The naive approach — majority vote — ignores the fact that some annotators...
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ML engineers know their model is slow but can't tell you why. Is it the attention layers? The tokenizer? The data loading? The GPU memory thrashing? O...
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Predicting crop yields months before harvest transforms how agricultural supply chains operate — commodity traders price futures, food companies plan...
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Not every question needs GPT-4. A simple classification task runs fine on a smaller model at 1/20th the cost. A code generation request needs a code-s...
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GPU out-of-memory errors are the most frustrating part of ML development. The error message says "CUDA out of memory" but doesn't tell you where your...
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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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