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Cloud ML DevRel Engineer - US remote

2 hours, 55 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
AWS Azure Cloudflare Docker GCP GitHub Kubernetes Python
Apply Now
Hugging Face

Hugging Face

Hugging Face: Advancing AI through open collaboration. Platform for ML model collaboration and tools for AI project creation.

IT Services
51-250
Founded 2016
$395M raised
View All Jobs 6

Description

  • Publish technical blog posts that explain and promote partner integrations and ML Cloud capabilities.
  • Contribute documentation and code examples for Hugging Face and partner platforms.
  • Speak to technical and business audiences at partner conferences, webinars, and workshops.
  • Produce, run, and present demos that showcase practical ML Cloud use cases.
  • Lead go-to-market conversations with strategic partners to increase visibility and usage.
  • Help developers run Hugging Face models and libraries efficiently on cloud and accelerator platforms.
  • Collaborate with cloud, accelerator, and systems partners to support integrations and joint initiatives.
  • Engage the ML community through educational, helpful, and technically grounded content.
  • Support adoption of generative AI and open-source tooling through public-facing developer relations work.

Requirements

  • 3+ years of experience in developer relations or developer advocacy for ML or AI products, tools, or platforms.
  • An established public technical presence with regularly published ML/AI content and an engaged audience on LinkedIn and X (Twitter).
  • A portfolio of developer-facing content such as technical blog posts, conference talks, demos, code examples, or documentation.
  • Comfort and experience with public speaking to technical audiences in conferences, webinars, or 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 such as AWS, GCP, or Azure.
  • Proficiency in Python.
  • Practical experience with the Hugging Face stack, including Transformers, the Hub, or Inference Endpoints, or comparable open-source ML libraries.
  • Working knowledge of GPUs or AI accelerators such as NVIDIA, AMD, Intel Gaudi, AWS Inferentia, or TPU, plus training and inference optimization.
  • Fluent written and spoken English.
  • Open-source maintainer or contributor experience is preferred.
  • An active presence in other developer communities such as GitHub, Reddit, YouTube, or Discord is preferred.
  • Familiarity with containers and orchestration tools such as Docker and Kubernetes is preferred.
  • Experience with distributed training or inference-serving frameworks such as vLLM, TGI, or Ray is preferred.

Benefits

  • Reimbursement for relevant conferences, training, and education.
  • Flexible working hours and remote work options.
  • Health, dental, and vision benefits for employees and their dependents.
  • Parental leave and flexible paid time off.
  • Company equity as part of the compensation package.
  • Opportunity to visit office spaces in NYC and Paris if remote.
  • Workstation outfitting support if needed.
  • A diverse, inclusive, and supportive workplace culture.

Interested in this position?

Apply directly on the company website

Apply Now

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