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Machine Learning Optimization Evangelist - EMEA remote

Posted 25 weeks ago
Software Development
Full Time
France

Overview

As a Machine Learning Optimization Evangelist at Hugging Face, you will educate the ML community on optimizing their training and inference workloads, collaborating with major AI accelerators and cloud platforms.

In Short

  • Increase the impact of the ML Optimization team.
  • Educate ML practitioners on workload acceleration.
  • Collaborate with AI accelerators and cloud platforms.
  • Publish technical blog posts and contribute documentation.
  • Speak at conferences and produce webinars.
  • Build and evangelize demos.
  • Lead go-to-market conversations with partners.
  • Work with leading companies in AI.
  • Enjoy autonomy and creative control.
  • Engage positively with the ML community.

Requirements

  • Passion for ML Engineering and AI applications.
  • Strong communication and public speaking skills.
  • Experience in Open Source development.
  • Engagement in social platforms like GitHub and LinkedIn.
  • Ability to learn and discuss challenging engineering concepts.
  • Appreciation for good Developer Experience.
  • Comfortable with technical audiences.
  • Ability to produce clear and understandable code.

Benefits

  • Flexible working hours and remote options.
  • Health, dental, and vision benefits.
  • Parental leave and flexible paid time off.
  • Reimbursement for conferences and training.
  • Company equity as part of compensation.
  • Support for community engagement in ML/AI.
  • Opportunity to visit office spaces in NYC and Paris.
  • Workstation outfitting for remote employees.
  • Culture that values diversity, equity, and inclusivity.
  • Continuous growth and development opportunities.
Hugging Face logo

Hugging Face

Hugging Face is a leading company in the field of artificial intelligence and natural language processing, known for its commitment to open-source technology and community-driven development. The company provides a platform that enables developers and researchers to build, share, and deploy machine learning models, particularly in the realm of conversational AI. Hugging Face is recognized for its innovative tools and libraries, such as Transformers, which facilitate the use of state-of-the-art models in various applications. With a focus on collaboration and accessibility, Hugging Face aims to democratize AI and empower users to harness the power of machine learning.

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