Community ML Research Engineer, non-AI scientific fields - EMEA Remote

Overview

As a Community Machine Learning Research Engineer at Hugging Face, you will collaborate with scientific communities to conduct impactful machine learning research.

In Short

• Build and facilitate research collaborations in non-AI scientific fields.
• Co-develop ML tools and models for scientific applications.
• Educate the scientific community through tutorials and workshops.
• Foster partnerships with academic institutions.
• Work in a fast-paced, ambiguous environment.
• Engage deeply with technical domains.
• Encourage diverse applications of ML tools.
• Support the ML/AI community.
• Participate in a decentralized organization.
• Contribute to open-source projects.

Requirements

• Experience in machine learning research.
• Ability to collaborate with the research community.
• Generalist Research Engineer skills.
• Comfortable in a startup environment.
• Willingness to experiment with different models.
• Strong communication skills.
• Interest in interdisciplinary innovation.
• Ability to work with academic and industry partners.
• Passion for community engagement.
• Commitment to diversity and inclusivity.

Benefits

• Flexible working hours and remote options.
• Health, dental, and vision benefits.
• Flexible parental leave and paid time off.
• Reimbursement for conferences and training.
• Company equity as part of compensation.
• Relocation packages if necessary.
• Support for workstation setup.
• Opportunity to visit office spaces in NYC and Paris.
• Culture that values diversity and inclusivity.
• Collaboration with top industry professionals.