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.
Our palletizing robots misjudge box orientation about once every four hundred cycles, and that one miss costs a line ten minutes of downtime. We're lo...
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The fraud models you'll ship will screen millions of submitted documents every month across our banking clients. This role focuses on detecting synthe...
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Have you ever listened to a voicemail transcript so garbled you had to play the original audio anyway? We already have a solid general-purpose speech...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
Our mission is to get life-saving therapies into clinical trials faster by connecting eligible patients with the right protocols. In this role you'll...
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We serve radiology departments across 40 hospital systems that rely on our annotated datasets to train diagnostic models. What we're missing is a rigo...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
We serve pharmaceutical R&D teams racing to cut years off vaccine development timelines. Our platform models antigen stability and adjuvant interactio...
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Python, PyTorch, and TensorFlow are the tools behind our X-ray inspection line, but our current porosity detection model misses subtle internal defect...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
PyTorch, Kubernetes, and GCP are what our voice synthesis infrastructure runs on, serving real-time speech to conversational AI products used across d...
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Our mission is to catch AI systems that strategically underperform on evaluations while retaining full capability elsewhere. This role sits at the cen...
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We're building the generative imaging layer that e-commerce brands use to turn a single product photo into an entire catalog. Our try-on, texture synt...
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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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