Remote Open-Source ML Release Engineer - US Remote
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Description:
As an Open-Source ML Release Engineer at Hugging Face, you will play a crucial role in collaborating with external groups to release and adopt their Open ML projects.
You will work closely with the Open Source and Product teams, as well as external stakeholders like Stanford, Meta, Cohere, Google, and Nous Research, with the autonomy to lead collaborations.
Responsibilities include developing notebooks and fine-tuning scripts for new models, creating engaging demos, promoting best practices in open ML, generating technical content like blog posts, building relationships with partners, testing new model integrations, and enhancing tooling for new model entry.
The role requires thriving in autonomy, a fast-paced environment, a deep understanding of the ML landscape, and excellent interpersonal communication skills.
Requirements:
Strong understanding of and empathy for the needs of the open ML community.
Willingness to collaborate across different teams and disciplines.
Enjoyment of a wide range of tasks beyond traditional engineering roles, including project management, development, or hacking.
Excitement for challenging and diverse projects.
Comfort in a dynamic environment with rapidly shifting priorities.
Ability to communicate with the community through various channels like blog posts, workshops, or ML memes.
Willingness to learn new tools and explore new ML areas.
Benefits:
Opportunity to work with some of the smartest people in the industry and a culture that values diversity, equity, and inclusivity.
Reimbursement for relevant conferences, training, and education to support continuous growth.
Flexible working hours and remote options, along with health, dental, and vision benefits for employees and their dependents.
Parental leave and flexible paid time off to support well-being.
Support for remote employees with office visits and workstation setup.
Company equity for all employees, providing the opportunity to benefit from the company's success in the ML and AI field.