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 are a 120-person fintech company based in Stockholm. Our product is a credit risk platform used by 18 lending institutions across the Nordic region...
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Our laboratory develops natural language processing systems for clinical documentation — specifically, the automated extraction of structured clinical...
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Project scope: Independent technical audit and optimisation of an existing computer vision model used in a manufacturing quality control application....
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Posted 5 months ago
We build AI tools for hospital systems. Our newest product automatically summarises clinical notes for care transitions — when a patient is discharged...
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Posted 5 months ago
We're training large transformer models (7B–30B parameters) and our training setup is inefficient. Single-machine multi-GPU only. No FSDP, no ZeRO opt...
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Posted 5 months ago
United States — Los Angeles (UTC-7)
We run a marketplace connecting buyers and sellers and our recommendation engine is core to engagement. We need an applied scientist who has built col...
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Posted 5 months ago
Grid operator, Central Europe. We collect sensor data from 8,000+ substations at 1-minute resolution. Current use: manually reviewed by engineers who...
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We have domain-specific text data and want to fine-tune an open-source LLM to produce outputs that are consistent with our company voice and domain kn...
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We run ML models in production serving millions of predictions per day and need an ML engineer who is as comfortable with systems and infrastructure a...
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Posted 6 months ago
We build shelf monitoring software for grocery stores. The hard part is not detecting products in a clean demo image. The hard part is poor lighting,...
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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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