Cloud ML DevRel Engineer - US remote

Hugging Face•New York, NY

1d•Remote

About The Position

At Hugging Face, we're on a journey to democratize good AI. We're building the fastest-growing platform for AI builders, with over 11 million users who have shared more than 2M models, 700k datasets, and 600k apps. Our open-source libraries have more than 600k stars on GitHub. As a Cloud ML DevRel Engineer, your goal is to 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. The ML Cloud team works through strategic collaborations with the most widely used clouds (AWS, GCP, Azure, Cloudflare), AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, TPU), and systems partners (Dell, Nutanix), to make it easy for the community to run Hugging Face models and libraries on these platforms. These partnerships sit at the core of our strategy as an open platform with no customer lock-in, and of how we drive usage and revenue for our partners. This is a solid engineering role with a strong flavor of education and community. Your impact comes from driving visibility and usage of partner integrations, through work like publishing technical blog posts, contributing documentation and code examples, speaking to business and technical audiences at partner conferences, producing and running webinars, building and showing off demos, and leading go-to-market conversations with strategic partners. You'll work at the front edge of generative AI and open source, hand in hand with some of the most important companies in the field. You'll have a lot of autonomy and full creative control, with the goal of having 10x the impact of a similar role at a big tech company.

Requirements

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

Nice To Haves

Open-source maintainer or contributor experience
An active presence in other developer communities (GitHub, Reddit, YouTube, Discord)
Familiarity with containers and orchestration (Docker, Kubernetes)
Experience with distributed training or inference-serving frameworks (for example vLLM, TGI, or Ray)