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 3 months ago
United States — Los Angeles (UTC-7)
GPU vendors publish benchmark numbers. Reality disagrees. A model that achieves 1,200 tokens per second on a pristine A100 in a controlled benchmark m...
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Posted 3 months ago
United States — New York (UTC-4)
A knowledge graph built from multiple sources will contain conflicts. Two news articles say the same person was born in different cities. A corporate...
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Manual red teaming scales poorly. A team of 10 red teamers working full-time can probe a model's guardrails with thousands of adversarial prompts per...
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Scope 3 emissions — the indirect emissions in a company's value chain — account for 70% of most companies' carbon footprints. They're also the hardest...
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The same model can score 73% or 81% on the same benchmark depending on whether you use greedy decoding or temperature 0.7 sampling, whether you zero-s...
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Recommendation systems that rely on static user profiles are always serving yesterday's interests. A user who spent the last hour reading about machin...
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Synthetic data is only useful if it's actually similar enough to real data to train models that generalize to real-world distributions. The field has...
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Media mix modeling used to take 6 weeks to run and required a statistician to interpret. Modern approaches can run in hours and surface actionable all...
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When a 24-year-old NBA player posts his best statistical season, is he entering his prime or having a career year? When a pitcher's velocity drops 2mp...
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Voice style transfer sits between voice cloning and text-to-speech: given a target speaker's characteristics — their timbre, pace, prosodic patterns,...
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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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