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.
The ranking problem is old. The data keeps changing anyway. We are hiring an applied scientist who can work on retrieval and ranking models for a mark...
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A precision manufacturing group is upgrading its visual inspection systems across three plants. The defects are subtle, the lighting is inconsistent,...
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Our tracking system powers broadcast graphics and team performance analysis across multiple sports leagues. We need a lead engineer to improve multi-c...
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A lot of recommendation work assumes huge catalogs and huge interaction volumes. We do not have either, at least not in the way the big entertainment...
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Posted 5 months ago
United States — Chicago (UTC-5)
We install camera-based shelf monitoring in convenience and grocery environments where lighting is bad, fixtures change often, and labels are not cons...
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Our software checks imaging quality before a study moves deeper into the radiology workflow. We are not trying to diagnose disease. We are trying to c...
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Customer problem: too much manual inspection and too much disagreement about borderline defects. Technical problem: model improvements that look good...
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Posted 5 months ago
Netherlands — Amsterdam (UTC+2)
Fraud is one of the few places in our business where everybody notices mistakes immediately. Merchants notice. Risk operations notices. Finance notice...
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Perception is the thing holding the next robot release back. Not in a dramatic way, just in the real engineering way: reflective packaging, awkward sh...
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Posted 5 months ago
United Kingdom — London (UTC+1)
This role sits within the Advanced Driver-Assistance Systems (ADAS) perception team of a Tier 1 automotive supplier. We develop perception stacks for...
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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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