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Remote Hugging Face Jobs
Browse vetted 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 13 hours ago
Senior Applied AI Solutions Engineer
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 22 hours ago
Lead Applied Value Engineer
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowl...
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Posted 1 day ago
Scientist II Machine Learning Engineer (LLM & GenAI Specialist)
About usOwkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone h...
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Posted 3 days ago
Staff Applied AI Engineer - Enterprise AI Solutions
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We...
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Posted 6 days ago
Senior Research Engineer, LLM Training & Post-Training
Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploy...
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Posted 6 days ago
Research Engineer, AI/ML Systems
Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploy...
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Posted 2 weeks ago
Staff Software Engineer, Inference API
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Posted 3 weeks ago
Staff Machine Learning Engineer
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform co...
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Posted 3 weeks ago
Senior Machine Learning Engineer
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform co...
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Posted 3 weeks ago
Senior Machine Learning Engineer
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform co...
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Role guide
What to expect in remote Hugging Face jobs
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 you'll work on
- Fine-tune LLaMA, Mistral, or Phi models using LoRA or QLoRA via PEFT
- Build production inference pipelines with the Transformers library
- Evaluate model outputs using Hugging Face Evaluate and custom metrics
- Deploy models to Hugging Face Inference Endpoints or self-hosted serving
What companies look for
- Hands-on fine-tuning experience with PEFT, LoRA, and the TRL library
- Deep knowledge of the Transformers tokeniser and model API
- Experience with the Hugging Face Hub for model and dataset management
Frequently asked questions
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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