You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the hardware ability.
You love learning new challenging engineering concepts and technologies, and discussing them with engineers.
You are a great communicator and educator, comfortable with public speaking to technical audiences.
You love engaging with the ML community in a positive and helpful way.
Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc.) or other communication/education channels is expected.
Having experience in Open Source development will be helpful.
Responsibilities:
As a Machine Learning Optimization Evangelist, your goal will be to increase the impact of the Hugging Face ML Optimization team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads.
Your impact will be driving visibility and usage of integrations with strategic partners through activities including publishing technical blog posts, contributing documentation and code examples, speaking to business and technical audiences at partner conferences, participating in or producing webinars, building and evangelizing demos, and leading GTM conversations with strategic partners.