Cloud ML DevRel Engineer

Hugging Face

Cloud ML DevRel Engineer at Hugging Face, teaching ML practitioners and collaborating with strategic partners to enhance ML Cloud solutions.

Posted 5/29/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Grow the impact of the Hugging Face ML Cloud team by teaching the community of ML practitioners how to accelerate their training and inference workloads
Work through strategic collaborations with major cloud services (AWS, GCP, Azure, Cloudflare) and AI accelerators (NVIDIA, AMD, Intel Gaudi, etc.)
Publish technical blog posts
Contribute documentation and code examples
Speak to business and technical audiences at partner conferences
Produce and run webinars
Build and show off demos
Lead go-to-market conversations with strategic partners

Requirements

What you’ll need

3+ years in developer relations or developer advocacy, specifically for ML or AI products, tools, or platforms
An established public presence as a technical voice, with a track record of regularly publishing ML/AI content and a demonstrable, engaged audience on LinkedIn and X (Twitter)
A portfolio of developer-facing content you can point to: technical blog posts, conference talks, demos, code examples, or documentation
Comfort and experience with public speaking to technical audiences (conferences, webinars, workshops)
3+ years of hands-on ML or software engineering experience, including taking models to production
Experience training or deploying ML models on at least one major cloud (AWS, GCP, or Azure)
Proficiency in Python
Practical experience with the Hugging Face stack (Transformers, the Hub, Inference Endpoints) or comparable open-source ML libraries
Working knowledge of GPUs or AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, or TPU) and of training and inference optimization
Fluent written and spoken English

Benefits

Comp & perks

Health, dental, and vision benefits for employees and their dependents
Parental leave
Flexible paid time off
Flexible working hours
Remote options
Reimbursement for relevant conferences, training, and education
Company equity as part of compensation package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonML engineeringAI productsHugging Face stackTransformersInference Endpointsmodel deploymenttraining optimizationinference optimizationpublic speaking

Soft Skills

communicationleadershipcommunity engagementcontent creationpublic presenceaudience engagementcollaborationpresentation skillstechnical advocacystrategic thinking