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Remote PyTorch Jobs
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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Posted 2 months ago
Member of Technical Staff, Post-Training
Who are we?Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Posted 2 months ago
Research Engineer, Privacy
About the TeamThe Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Ar...
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Posted 2 months ago
Member of Technical Staff, Agent Code
Who are we?Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Posted 2 months ago
Member of Technical Staff, Data Analysis and Evaluation
Who are we?Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Posted 2 months ago
Member of Technical Staff, Integration/RL Team (Research Engineer)
Who are we?Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Posted 2 months ago
Sr. Solutions Architect - Digital Native Business, Strategics
As a Sr. Solutions Architect on the team supporting the strategic Digital Natives Business (DNB) customers, you will shape the future of the Data &...
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Posted 2 months ago
Solutions Architect - Digital Native Business, Named Accounts
FEQ327R210While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE As a...
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Posted 2 months ago
Research Engineer/Research Scientist, Pre-training
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users...
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Posted 2 months ago
Research Engineer, Machine Learning (RL Velocity)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users...
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Posted 2 months ago
Research Scientist, Professional Creative Workflows
Research Scientist, Professional Creative Workflows About the Role We are seeking a highly motivated Research Scientist to join our Research team....
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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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