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 1 day ago
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowl...
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Posted 1 day ago
Perception Engineer. Ref. No. N322 BOSTON – REMOTE U.S. ONLY FULL-TIME What You’ll Do: Connect/drive project-level impact through technology solu...
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Posted 1 day ago
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 1 day ago
Mission Summary:We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the...
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Posted 1 day ago
On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-...
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Posted 1 day ago
First and most importantly: our mission is to bring transparency and clarity to the world's data. Our platform, Voxel51, is where AI work happens. Our...
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Posted 1 day ago
Descript's Research team builds the models behind the product's most distinctive features: Video Regenerate and lipsync, video translation, zero-shot...
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Posted 1 day ago
Abnormal AI is looking for a Machine Learning Engineer to join the Account Takeover Detection team. At Abnormal, we protect our customers against nefa...
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Posted 1 day ago
About usOwkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone h...
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Posted 2 days ago
Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a bi...
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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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