Remote positions
Browse vetted remote PyTorch positions at companies building with deep learning, LLM fine-tuning, and production model serving — all roles manually reviewed.
Top matching AI roles
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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
Personalization and privacy are usually presented as opposites — more data means better recommendations but worse privacy. We reject that trade-off. O...
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Designers hand off pixel-perfect Figma files. Developers spend 3 days turning them into responsive code that never quite matches the design. Our tool...
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Recycling facilities process 40 tons of mixed waste per hour on conveyor belts moving at 3 meters per second. Each item — a plastic bottle, an aluminu...
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Developing a new drug costs $2.6 billion and takes 12 years. Repurposing an existing approved drug for a new indication costs a fraction and takes 3-5...
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Posted 4 months ago
United Kingdom — London (UTC+1)
Solar panels produce nothing at night. Wind turbines sit idle when the air is still. Grid operators need to know exactly how much renewable energy the...
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Hand-crafted game levels take weeks to build and players consume them in hours. Procedural generation creates infinite content, but most procedurally...
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LiDAR scanners capture buildings, construction sites, and infrastructure as dense point clouds — billions of 3D points that represent every surface, p...
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We map the world's infrastructure from space. Our models analyze satellite imagery to detect new construction, monitor road conditions, track agricult...
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Retail stores generate thousands of hours of security footage every day, and 99.9% of it is never watched. Our platform turns that footage into action...
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We monitor construction sites from above. Our drones capture daily imagery of active projects — foundations, framing, roofing, utilities — and our CV...
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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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