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Hugging Face is hiring a ML Engineer Internship - Social Impact Evaluations for Generative Models

Description

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source library of pre-trained models in the world. With over 100M+ installs and 65K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

The Hugging Face Hub’s role as a central repository where the latest generative ML models are shared and discussed makes it an ideal platform for supporting more systematic and transparent assessments of their impact on society.

To facilitate these assessments, you will develop tooling and practical guides implementing recommendations from recent scholarship on defining and measuring critical categories of social impact. To that end, you will:

  • Participate in the development of open-source libraries that support documentation and automatic evaluation of relevant aspects of ML models
  • Help connect these tools by writing documentation to guide users who want to help evaluate various dimensions of a model’s social impact
  • Showcase these tools on a selection of widely-used generative models on the HF Hub across modalities

About you

You’ll enjoy working with us in this role if you care about bringing multiple perspectives on new technologies together and building tools that help users gain a deeper understanding of the social impact of ML systems.

This role will require you to quickly iterate and modify a range of technical tools to find how to best assess the social impact of ML models, as well as write your own to fill gaps in existing evaluations. You will need proficiency in Python and familiarity with our open-source libraries, and we encourage candidates who have experience with multidisciplinary research and with writing guides and documentation to support their tools to apply for this position.

If you're interested in joining us but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.

Preferred Location

Ideally, you are based in NYC, but we are open to remote work for the right candidate.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously 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. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.

We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Apply Now

Mention aiml.careers when you apply so they know you're a genuine candidate.

Remote

Hugging Face - AI/ML Jobs

Hugging Face

Location: Remote

Apply Now

Mention aiml.careers when you apply so they know you're a genuine candidate.