Multimodal AI internship - US Remote
Palo Alto, California, United States - Remote
Applications have closed
Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.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
As a multimodal research intern, you will work closely with the researchers at Hugging Face on the multimodal team to address the current trends and opportunities in multimodal AI. From developing prototypes to creating and monitoring the experiments to designing new novel machine learning architecture, you will experience all cycles of typical industry research while executing a research agenda from start to finish.
About you
You have a passion for machine learning research and have a deep interest in conducting thorough research on a specific topic from the start to the end while working closely with the Hugging Face researcher.
Some of our requirements for this role:
- Working towards an MS or PhD degree in Computer Science or relevant field.
- Experience with PyTorch or any other major deep learning framework of choice.
- Problem-solving and good communication skills.
- Some experience with the Hugging Face tools and ecosystem.
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
Fully remote.
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.
Tags: Architecture Computer Science Deep Learning GitHub Machine Learning PhD PyTorch Research
Perks/benefits: Career development Conferences Flex hours Team events
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