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Remote PyTorch Jobs
Browse remote PyTorch positions at companies building with deep learning, LLM fine-tuning, and production model serving.
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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Posted 21 hours ago
Applied Machine Learning Research Scientist
Cerebras
Toronto, CAN
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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows,...
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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Posted 1 day ago
Field Execution Partner, AI Field Engineering
Fireworks AI
San Mateo
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Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows,...
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Posted 1 day ago
Senior Machine Learning Engineer (Reinforcement Learning/World Model)
Pathrobotics
Columbus, Ohio or Remote
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At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real wor...
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Posted 1 day ago
Machine Learning Engineer, Perception
Pathrobotics
Columbus, Ohio or Remote
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At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real wor...
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Posted 1 day ago
Research Scientist / Engineer – Reinforcement Learning Infrastructure
Lumaai
Remote, EU
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You'll build the systems that make reinforcement learning work at frontier scale — coupling policy optimization with large fleets of inference workers...
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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked wi...
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You'll own how Luma's models get served — integrating new architectures into the inference engine, scaling deployments across thousands of machines, a...
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Role guide
What to expect in remote PyTorch jobs
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 you'll work on
- Fine-tune open-source LLMs (LLaMA, Mistral) on proprietary company data
- Design and train custom deep learning architectures for vision or language tasks
- Optimise model inference and export for production deployment
- Build distributed training pipelines for large-scale model development
What companies look for
- Deep understanding of autograd, tensors, and training loops
- Experience with Hugging Face Transformers and the PEFT ecosystem
- Production model deployment experience (ONNX, TorchServe, or Triton)
Frequently asked questions
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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