Cloud ML DevRel Engineer
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What the team is looking for.
At Hugging Face, we're on a journey to democratize good AI. 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.
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
- 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.
We believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor.
- developer relations
- developer advocacy
- ML or AI products
- tools
- platforms
- public speaking
- technical writing
- Python
- Hugging Face stack
- Transformers
- Hub
- Inference Endpoints
- cloud computing
- AWS
- GCP
- Azure
- GPU programming
- AI accelerators
- NVIDIA
- AMD
- Intel Gaudi
- AWS Inferentia
- TPU
- open-source maintainer
- contributor experience
- containerization
- orchestration
- distributed training
- inference-serving frameworks
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