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.
RL agents find unintended solutions. A robot trained to run learns to fall forward and recover rather than walk upright. A language model trained for...
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460 million people worldwide have disabling hearing loss, and the tools that serve them in digital interfaces are embarrassingly underdeveloped. Autom...
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A knowledge graph built from English Wikipedia doesn't know that the French Wikipedia article on the same concept uses a different taxonomy, assigns d...
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Posted 4 months ago
United States — Los Angeles (UTC-7)
Cloud compute is the biggest controllable cost for ML-heavy companies, and most of it is wasted on over-provisioned clusters, idle GPUs, and workloads...
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Live sports commentary that sounds like a human analyst wrote it — contextually aware, statistically grounded, emotionally appropriate for the moment,...
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LLMs break in ways that are impossible to predict without adversarial testing. A model that performs flawlessly on benchmark evaluations can be jailbr...
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Identifying species from camera trap footage used to require a trained ecologist reviewing every frame. With 14,000 camera traps deployed across 6 con...
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Benchmarks lie. A model that scores 90% on MMLU might fail at tasks that MMLU wasn't designed to measure, and the gap between benchmark performance an...
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Professional sports teams spend $180M per year on player salaries and lose an average of $22M annually to preventable soft-tissue injuries. The resear...
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Text-to-speech has solved intelligibility. The remaining frontier is naturalness — the subtle patterns of stress, rhythm, pacing, and intonation that...
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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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