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.
Film VFX compositing is manual, painstaking work — rotoscoping characters frame by frame, matching lighting between CG elements and live footage, clea...
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Medical coding translates clinical encounters into billing codes — ICD-10 for diagnoses, CPT for procedures, HCPCS for supplies. Hospitals employ armi...
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Fast-moving team. Hard problems. No meetings before noon. We're building a real-time sports analytics platform that uses computer vision to track play...
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Our product is a clinical decision support system used by 40 hospitals across the Midwest. The models behind it predict patient deterioration, flag dr...
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Commodity traders pay millions for satellite imagery that tells them crop yields before harvest reports. Insurance companies use it to assess storm da...
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RAG systems retrieve 20 chunks and hope the right one is in there. Ours retrieves 200 candidates and re-ranks them with a learned model that understan...
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Retailers hold $1.5 trillion in excess inventory globally. Every unsold item represents tied-up capital, warehouse costs, and eventually, markdowns th...
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Insurance companies need to price climate risk 30 years into the future. Traditional actuarial models use historical loss data that no longer reflects...
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Labeled data is expensive. Our clients in healthcare, manufacturing, and legal have 500 labeled examples when they need 50,000. Data augmentation can...
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Live sports broadcasts show instant replays — but selecting the best camera angle, identifying the key moment, and framing the replay still requires a...
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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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