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.
We serve over 40 game studios who license our simulation models for balancing and testing. We publish internal writeups on what works and encourage en...
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We just expanded our risk modeling team after a strong year and need to move fast without cutting corners on model safety. Our clients include institu...
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The models you fine-tune will sit directly in the API layer that thousands of developer accounts call every day. Fast-moving team, real production sta...
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We publish internally and encourage conference submissions, and this role sits right at the intersection of research rigor and legal exposure. Synthet...
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Posted 2 months ago
United States — Chicago (UTC-5)
We don't care where you work from. We care about output, clear communication, and whether captions land on screen at the moment someone actually needs...
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GPU spend and model accuracy are constantly in tension on our platform, and customers keep asking us to quantize aggressively without telling them exa...
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We just closed our Series A and are scaling fast. We need a contract engineer who can ship a real-time coaching layer that whispers compliance reminde...
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The models you'll ship will be used by fleets running 50,000 trips a week across long-haul routes. Fatigue-related incidents cost our customers more t...
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Our models sometimes behave differently during evaluation than they do once deployed, and that gap is exactly the failure mode we're trying to catch b...
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Hallucination rate, langchain retrieval quality, and statistical significance testing are the core of what we build here. Every model vendor reports t...
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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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