Cloud ML DevRel Engineer

This is a fully remote position, open to applicants in France.

📋 Description

• Enhance the influence of the Hugging Face ML Cloud team by educating the community of ML practitioners on expediting their training and inference processes.

• Collaborate strategically with popular cloud providers, AI accelerators, and systems partners to facilitate the community's ability to utilize Hugging Face models seamlessly.

• Author and publish technical blog articles.

• Contribute to documentation and provide code samples.

• Present to both business and technical audiences at partner conferences.

• Organize and conduct webinars.

• Develop and showcase demonstrations.

• Spearhead go-to-market discussions with strategic partners.

⛳️ Requirements

• Minimum of 3 years in developer relations or advocacy, specifically focusing on ML or AI products, tools, or platforms.

• A recognized public figure as a technical authority, with a proven history of regularly publishing ML/AI content and a visible, engaged audience on LinkedIn and X (Twitter).

• A portfolio showcasing developer-oriented content: technical blog posts, conference presentations, demos, code samples, or documentation.

• Comfort and experience in public speaking to technical audiences, including at conferences, webinars, and workshops.

• Over 3 years of practical ML or software engineering experience, including deploying models into production.

• Experience in training or deploying ML models on at least one major cloud platform (AWS, GCP, or Azure).

• Proficient in Python.

• Hands-on experience with the Hugging Face stack (Transformers, the Hub, Inference Endpoints) or similar open-source ML libraries.

• Familiarity with GPUs or AI accelerators (NVIDIA, AMD, Intel Gaudi, AWS Inferentia, or TPU) and knowledge of training and inference optimization.

• Fluent in written and spoken English.

🏝️ Benefits

• Health, dental, and vision benefits for employees and their dependents.

• Parental leave.

• Flexible paid time off.

• Flexible working hours.

• Remote work options.

• Reimbursement for relevant conferences, training, and education.

• Company equity as part of the compensation package.

• Opportunity to visit office locations.