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.
Wire transfers move $5 trillion per day globally. When a fraudulent wire goes through, the money is often irreversible within hours. Our detection sys...
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Drug discovery pipelines generate petabytes of multi-omics data — genomics, proteomics, metabolomics — but the biomarkers that predict therapeutic res...
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Radiologists read 40-80 studies per day. Some are urgent — a pulmonary embolism, a stroke, a pneumothorax — and waiting 4 hours in the queue can cost...
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Legal contracts contain thousands of clauses, and finding the ones that matter — indemnification caps, termination triggers, change of control provisi...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
A single unplanned machine failure on an automotive assembly line costs $22,000 per minute of downtime. Our predictive maintenance system fuses data f...
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Supply chain managers, insurers, and investors need to know when political instability in a region is about to spike — before it hits the headlines. O...
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Surface roughness, waviness, and texture tell you more about manufacturing quality than any dimensional measurement. A bearing surface that looks perf...
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Network traffic data is a firehose — 4 billion flow records per day across our client deployments. Somewhere in that torrent are the 200 flows that re...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
Podcast editors spend 3-5 hours per episode on repetitive tasks: removing filler words, normalizing loudness across speakers, cutting dead air, adding...
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SHAP values are great for tabular models. They're useless for explaining why a 70-layer transformer rejected a loan application to a compliance office...
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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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