Cloud ML DevRel Engineer
Location
EMEA
Posted
4 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
Cloud ML DevRel Engineer
Hugging Face
Role Description 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: - Cloud providers: AWS, GCP, Azure, Cloudflare - AI accelerators: NVIDIA, AMD, Intel Gaudi, AWS Inferentia, TPU - Systems partners: Dell, Nutanix 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. Qualifications - 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 Requirements - 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) Benefits - Flexible working hours and remote options - Health, dental, and vision benefits for employees and their dependents - Parental leave and flexible paid time off - Reimbursement for relevant conferences, training, and education - Company equity as part of the compensation package - Support for the ML/AI community
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