Senior Technical Sourcer
Machine Learning, US remote
Confirmed live in the last 24 hours
Hugging Face

201-500 employees

Platform for collaboration on machine learning models
Company Overview
Hugging Face is a collaborative platform that is shaping the future of artificial intelligence by enabling the machine learning community to work together on models, datasets, and applications. The company fosters a culture of sharing and collaboration, allowing for unlimited hosting of models and datasets, and encouraging users to build their machine learning profiles. With a focus on building foundational machine learning tools in partnership with the community, Hugging Face demonstrates industry leadership and a competitive edge in the AI sector.
AI & Machine Learning
B2B

Company Stage

Series D

Total Funding

$395.2M

Founded

2016

Headquarters

Paris, France

Growth & Insights
Headcount

6 month growth

15%

1 year growth

49%

2 year growth

169%
Locations
Remote in USA • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Git
CategoriesNew
AI & Machine Learning
Requirements
  • Experience in technical sourcing for a fast-growing international environment
  • Solid startup or entrepreneurial experience in the Machine Learning world preferred
  • Knowledge of Python, Transformers, GitHub, Twitter, and Discord for headhunting purposes
  • Ability to develop an employer branding strategy and choose tech recruitment events
  • Understanding of diversity, equity, and inclusion in the recruitment process
Responsibilities
  • Structuring the recruitment for technical teams
  • Identifying the needs and sourcing passive candidates
  • Screening candidates until the offer stage
  • Developing employer branding strategy
  • Choosing tech recruitment events
  • Creating content to attract top talent
  • Developing a more inclusive recruitment process
  • Sharing best practices with the hiring team to promote diversity
Desired Qualifications
  • Experience in talking tech and Machine Learning
  • Experience in building things from scratch
  • Experience in a solid startup or entrepreneurial environment in the Machine Learning world