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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 closedReltrix Studio
Remote
Los Angeles, United States (UTC-8)
Text-to-song generation can produce melodies. It can produce lyrics. What it consistently fails to do is produce melodies that feel natural to sing wi...
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Posted 4 months ago
Applications closedSoltix AI
Remote
Berlin, Germany (UTC+1)
Terminology inconsistency in localization is expensive. A software product that uses 'dashboard' in the English interface but has three different tran...
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Posted 4 months ago
Applications closedNelvix Labs
Remote
Los Angeles, United States (UTC-8)
A speech recognition model trained primarily on American English performs substantially worse on Indian English, Nigerian English, and Scottish Englis...
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Posted 4 months ago
Applications closedMevra Labs
Remote
Berlin, Germany (UTC+1)
Our conversational AI platform powers customer service bots for 95 enterprise clients. Every bot has tens of thousands of conversations per week. How...
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Posted 4 months ago
Applications closedInovex Intelligence
Remote
Los Angeles, United States (UTC-8)
Stack Overflow's 'how do I do X in Python' worked when codebases were small. When your codebase is 8 million lines of proprietary code, the question i...
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Posted 4 months ago
Applications closedKlavio Works
Remote
London, United Kingdom (UTC+0)
Spaced repetition is the best-validated vocabulary acquisition technique in the learning science literature. Most language apps implement it badly: fi...
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Posted 4 months ago
Applications closedDravix Studio
Remote
Los Angeles, United States (UTC-8)
Songwriter workflows are broken. The gap between 'I have these lyrics' and 'I have a melody that fits them' requires either expensive studio time with...
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Posted 4 months ago
Applications closedAltrix Systems
Remote
London, United Kingdom (UTC+0)
A knowledge graph is only as good as the relations that connect its entities. We have 14 million nodes; the edges between them — who acquired whom, wh...
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Posted 4 months ago
Applications closedBolvex Solutions
Remote
Chicago, United States (UTC-6)
Clinical notes are where 80% of medically relevant information lives — and 0% of it is machine-readable without significant NLP work. A cardiologist's...
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Posted 4 months ago
Applications closedYovex Intelligence
Remote
Los Angeles, United States (UTC-8)
Adversarial prompt attacks against LLMs are not a research curiosity — they're an active threat to every customer-facing AI deployment. Our red team e...
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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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