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Remote Hugging Face Jobs

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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LLM Engineer NLP Engineer Fine-Tuning Specialist Open-Source AI Engineer ML Research Engineer

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Jobs & Projects

Celonis

Posted 4 days ago

Lead Applied Value Engineer - AI & Process Intelligence Consultant

Celonis

Remote, United Arab Emirates

lead
Full-time
English
Open job
Cerebras

Posted 5 days ago

Senior Software Engineer, ML API – AI Inference

Cerebras

Toronto, CAN

senior
Full-time
English
python pytorch machine learning llm ci/cd +4 more
Open job
Nebius

Posted 2 weeks ago

Senior ML Engineer (Agentic Search)

Nebius

Amsterdam, Netherlands; London, United Kingdom; Remote - Europe; Zurich, Switzerland

senior
Full-time
English
machine learning python machine learning kubernetes hugging face +1 more
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Nebius

Posted 3 weeks ago

Senior Applied AI Solutions Engineer

Nebius

Amsterdam, Netherlands; Remote - Europe; Remote - United States

senior
Full-time
English
Open job
Celonis

Posted 3 weeks ago

Lead Applied Value Engineer

Celonis

Remote, United Arab Emirates

lead
Full-time
English
Open job
Owkin
Full-time
English
tensorflow deep learning machine learning python docker +14 more
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S

Posted 3 weeks ago

Staff Applied AI Engineer - Enterprise AI Solutions

Snorkel AI

New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)

staff
Full-time
English
$230K – $360K / year
machine learning python pytorch pandas generative ai +13 more
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Cerebras

Posted 1 month ago

Staff Software Engineer, Inference API

Cerebras

Sunnyvale, CA

staff
Full-time
English
Open job
Cresta

Posted 1 month ago

Staff Machine Learning Engineer

Cresta

United States (Remote)

staff
Full-time
English
Open job
Cresta

Posted 1 month ago

Senior Machine Learning Engineer

Cresta

United States (Remote) · also open in 1 other location

senior
Full-time
English
Open job

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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