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.
Posted 5 months ago
United States — Chicago (UTC-5)
This is a short, focused contract for someone who can improve an OCR and packaging recognition pipeline that currently works just well enough to be an...
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Our customers run trucks, not prototypes. They want fewer collisions, fewer false alerts, and hardware that behaves on bad roads and worse weather. Th...
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Posted 5 months ago
United States — New York (UTC-4)
Some roles say accuracy matters. In medical imaging, that sentence means something heavier. We are looking for a research-minded engineer to improve l...
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This marketplace has enough traffic to support meaningful modelling, but not enough patience for academic detours. We need an applied scientist who ca...
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Posted 5 months ago
United States — New York (UTC-4)
We need help making our retail shelf-auditing models materially better in 12 weeks. The weak spots are known: facing counts, promo-tag detection, and...
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We do not expect you to arrive with every answer. We do expect curiosity, care, and enough engineering discipline to learn in production without break...
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An insurance claim arrives messy, incomplete, and emotional. Our job is not to automate empathy. It is to help adjusters triage faster, route better,...
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Posted 5 months ago
United States — Los Angeles (UTC-7)
We make a recovery and sleep tracking ring. 2.8 million active users. 60 billion biometric readings in our data lake at last count — heart rate, HRV,...
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Posted 5 months ago
United States — Los Angeles (UTC-7)
We are a fabless semiconductor company. We design chips — AI accelerators, networking ASICs, and custom silicon for edge inference applications. We ha...
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Posted 5 months ago
United States — New York (UTC-4)
We are a company built on research. Three years ago we spun out of a university computer vision lab with a specific capability: multimodal document un...
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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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