Join Hugging Face: Open-Source ML Release Engineer - US Remote

At Hugging Face, we are on a mission to advance good Machine Learning (ML) and make it more accessible. Our journey is driven by our contributions to the development of technology for the betterment of society.

We have created the world's fastest-growing open-source library of pre-trained models. With over 1 million models and 320K+ stars on GitHub, our technology is used by more than 15,000 companies, including top-tier AI organizations like Google, Elastic, Salesforce, Grammarly, and NASA.

About the Role

As an Open-Source ML Release Engineer, you will play a crucial role in collaborating with external groups to release and adopt their Open ML projects. You will work horizontally across our company (with the Open Source and Product teams) and with external stakeholders (such as Stanford, Meta, Cohere, Google, and Nous Research), enjoying the autonomy to lead these collaborations.

In your day-to-day responsibilities, you will:

• Develop notebooks and fine-tuning scripts for new models
• Craft engaging demos to showcase cutting-edge research
• Collaborate closely with partners to promote and implement best practices in open ML
• Generate high-quality technical content such as blog posts
• Build and maintain healthy and sustainable relationships with external partners
• Test and experiment with new model integrations
• Create and improve tooling to lower the barrier of entry for new models

As the Open ML ecosystem grows, we seek an MLE who thrives in autonomy and a fast-paced environment, possesses a deep understanding of the ML landscape, and excels in interpersonal communication. You will work cross-functionally with the Open Source and Product teams and engage with external stakeholders.

About You

You will thrive in this role if you are passionate about being at the forefront of ML releases and enjoy collaborating with diverse teams and organizations. This position is ideal for someone who:

• Has a strong understanding of and empathy for the needs of the open ML community
• Is willing to work across various teams and disciplines
• Enjoys a broad range of tasks that can extend beyond traditional engineering roles, often taking on Project Manager, developer, or hacker roles depending on the situation
• Is excited about tackling challenging and diverse projects
• Is comfortable working in a fast-paced, dynamic environment where priorities shift rapidly
• Loves communicating with the community through blog posts, workshops, or crafting ML memes
• Is not afraid to pick up new tools and dive into new ML areas

If you’re interested in joining us but don't check every box above, we still encourage you to apply! We are building a diverse team whose skills, experiences, and backgrounds complement each other. We are happy to consider where you might be able to make the most significant impact.

More About Hugging Face

We are committed to diversity, equity, and inclusivity. We are deliberately building a workplace where you feel respected and supported, regardless of who you are or where you come from. This is foundational to building a great company and community, as well as the future of machine learning more broadly. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

We value development. You will work alongside some of the brightest minds in our industry. We are an organization with a bias for impact, continually challenging ourselves to grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. Our benefits include health, dental, and vision coverage for employees and their dependents, parental leave, and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we are highly distributed, and remote employees have opportunities to visit our offices. We’ll also equip your workstation to ensure your success.

We want our teammates to be shareholders. All employees receive company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine