Research Scientist Intern - Smart Glasses in Wearables AI
MetaAdded 1h ago
Save this job and browse the whole board.
No credit card needed
Quick summaryby newgrad.ai
What you'll do
- Develop machine learning models and algorithms for smart glasses.
- Conduct research for both on-device and server-side AI applications.
- Aim to publish findings and deploy technology to consumer products.
What they're looking for
- Expertise in deep learning, computer vision, or speech processing.
- Proficiency in reinforcement learning, statistics, or applied mathematics.
- Availability for internships lasting 12 to 24 weeks.
Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.
The Wearables AI team at Meta works to advance the field of artificial intelligence by making fundamental advances in technologies to help Humans interact with and understand our world. We conduct product-motivated research in ML/AI, develop state-of-the-art algorithms and deploy models to the RayBan | Meta family of smart glasses. We work on most aspects of AI, in on-device and server-side settings. As a Research Scientist Intern, you will help us develop innovative models and algorithms, with a goal of publishing and deploying the outcomes.
We are seeking individuals passionate in areas such as deep learning, computer vision and multi-media, audio and speech processing, natural language processing, personalization and recommendations, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
Apply on Meta's site.
Apply nowListing wrong or expired, or you're the employer and want it removed? Let us know.
