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Browse remote Hugging Face positions at AI companies — LLM fine-tuning, Transformers library engineering, and NLP roles working with open-source models.
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Posted 4 months ago
Applications closedLamion Solutions
Remote
New York, United States (UTC-5)
A physician note that is missing a diagnosis code, an incomplete medication reconciliation, or a discharge summary that does not mention a complicatio...
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Posted 4 months ago
Applications closedLontex Tech
Remote
New York, United States (UTC-5)
Context windows are getting longer, but the fundamental economics remain unchanged: longer contexts cost more per token, and most tokens in a long con...
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Posted 4 months ago
Applications closedMaltex AI
Remote
New York, United States (UTC-5)
An AI tutor that explains a concept clearly once is useful. An AI tutor that notices when the student is confused, adapts its explanation approach, pr...
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Posted 4 months ago
Applications closedMevra Labs
Remote
Los Angeles, United States (UTC-8)
A long conversation history is both an asset and a liability. The asset: rich context about what the user has said, tried, and decided. The liability:...
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Posted 4 months ago
Applications closedHalvio Tech
Remote
Berlin, Germany (UTC+1)
Translating content is not the same as adapting it. A marketing email that performs well in English may fall flat in Japanese not because of translati...
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Posted 4 months ago
Applications closedEmrex AI
Remote
New York, United States (UTC-5)
RAG systems fail quietly. The retrieval returns plausible-looking chunks that don't actually answer the question. The generation produces confident te...
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Posted 4 months ago
Applications closedGlyph Systems
Remote
New York, United States (UTC-5)
Government procurement data is public but nearly unusable. Tender documents are PDF attachments with inconsistent formatting. Contract award notices v...
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Posted 4 months ago
Applications closedAltrix Systems
Remote
Berlin, Germany (UTC+1)
Knowledge graph embeddings are the bridge between symbolic knowledge representation and neural reasoning. A well-trained embedding lets a model traver...
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Posted 4 months ago
Applications closedBrenvo Tech
Remote
Chicago, United States (UTC-6)
Customer feedback arrives in text, audio recordings, and support chat transcripts — and currently each channel lives in a separate tool analyzed by a...
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Posted 4 months ago
Applications closedBreva AI
Remote
New York, United States (UTC-5)
Legal agreements reference regulations by name. When the regulation changes, every agreement that references it may need amendment — but manually trac...
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Role guide
Hugging Face has become the central hub for open-source LLM development. Remote Hugging Face jobs involve fine-tuning and deploying models from the Hub, building NLP pipelines with the Transformers library, and contributing to inference optimisation. Engineers with Hugging Face experience are at the core of the open-source AI movement.
What Hugging Face roles are available remotely?
LLM fine-tuning engineers, NLP developers, and ML research engineers who work primarily with the Hugging Face ecosystem. Most roles require PyTorch alongside Transformers library experience.
Do I need to know LoRA for Hugging Face remote jobs?
For fine-tuning roles, yes. LoRA and QLoRA (via the PEFT library) have become standard for parameter-efficient fine-tuning of large models. Full fine-tuning roles are rarer and typically require more compute resources.
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