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

Overview

As a Community Machine Learning Research Engineer at Hugging Face, you will collaborate with scientific communities to conduct impactful machine learning research and develop innovative ML tools for various scientific fields.

In Short

• Build and facilitate research collaborations in non-AI scientific fields.
• Co-develop ML tools and models for scientific applications.
• Engage with the scientific community through tutorials and workshops.
• Foster partnerships with academic institutions.
• Work in a fast-paced, decentralized environment.
• Experiment with different models for maximum impact.
• Understand technical domains deeply.
• Encourage diverse applicants to apply.
• Flexible working hours and remote options available.
• Company equity as part of compensation.

Requirements

• Experience in machine learning research.
• Ability to collaborate with the research community.
• Comfortable in a fast-paced environment.
• Willingness to engage deeply with technical domains.
• Open to diverse backgrounds and experiences.

Benefits

• Health, dental, and vision benefits.
• Flexible parental leave and paid time off.
• Reimbursement for conferences and training.
• Relocation packages available.
• Opportunity to visit office spaces in NYC and Paris.